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       GA-based fuzzy neural controller design for municipal
       incinerators
       Source     Fuzzy Sets and Systems archive
                  Volume 129 , Issue 3 (August 2002) table of contents
                  Control and applications
                  Pages: 343 - 369
                  Year of Publication: 2002
                  ISSN:0165-0114
       Authors                 Department of Environmental Engineering, National Cheng-Kung University, 1
                  W. C. Chen   University Road, Tainan 70101, Taiwan, ROC
                               Department of Environmental Engineering, National Cheng-Kung University, 1
                  Ni-Bin Chang University Road, Tainan 70101, Taiwan, ROC
                  Jeng-Chung     Department of Environmental Engineering, National Cheng-Kung University, 1
                  Chen           University Road, Tainan 70101, Taiwan, ROC

       Publisher Elsevier North-Holland, Inc.     Amsterdam, The Netherlands, The Netherlands



      Additional Information: abstract references index terms collaborative colleagues

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       DOI Bookmark:          10.1016/S0165-0114(01)00205-6




        ABSTRACT

        The successful operation of mass burn municipal incinerators for solid waste
        management involves many uncertain factors. Not only the physical
        composition and chemical property of waste streams but also the complexity
        of combustion mechanism would significantly influence the performance of
        waste incineration. Due to the rising concerns of dioxin/furan emissions from
        those incineration facilities in the metropolitan region, the applications of
        fuzzy control technologies for reducing the operational risks have gradually
        received wide attention in the scientific community. Recent advances of
        intelligent combustion control (ICC) technologies indicate that hybrid fuzzy
        control schemes, integrating some ideas and paradigms existing in different
        soft computing approaches, may provide more reliable control performance of
        combustion process. The proposed integrated methodology, using genetic
        algorithms and neural networks as tools to aid in fuzzy logic control, therefore
        employs a three-stage analysis. It applies three soft computing approaches
        simultaneously for generating a representative state function, searching for a
        set of multi-objective control strategies, and auto-tuning the fuzzy control
        rule base for use in the case study. The findings from this research clearly
indicate that the control performance at least in three types of municipal
incinerators (i.e., patented stokers are Takuma, Volund, and Martin) is greatly
enhanced via the use of ICC technologies. By using this integrated
methodology, the case study not only verifies the applicability and suitability
for controlling municipal incinerators but also presents application potentials
for controlling many other types of industrial incinerators, such as modular,
rotary kiln, and fluidized bed incinerators.



REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full
text article. ACM has opted to expose the complete List rather than only
correct and linked references.

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May 12, 1995

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29   [29] L.A. Zadeh, Fuzzy sets, Inform. Control 8 (1965) 338-353.



INDEX TERMS

Primary Classification:
 I. Computing Methodologies
     I.2 ARTIFICIAL INTELLIGENCE
        I.2.8 Problem Solving, Control Methods, and Search
          Subjects: Control theory

Additional Classification:
 F. Theory of Computation
     F.1 COMPUTATION BY ABSTRACT DEVICES
        F.1.1 Models of Computation
          Subjects: Self-modifying machines (e.g., neural networks)

 J. Computer Applications
     J.7 COMPUTERS IN OTHER SYSTEMS
        Subjects: Industrial control




General Terms:
Algorithms, Design, Experimentation, Theory




Keywords:
control, fuzzy sets, genetic algorithm, neural network

Collaborative Colleagues:
     Ni-Bin Chang:     Jeng-Chung Chen
                       W. C. Chen
                       Y. L. Chen
                       S. F. Wang
                       Y. L. Wei
     Jeng-Chung Chen: Ni-Bin Chang
                      Ming-Syan Chen
                      W. C. Chen
                      Philip S. Yu
     W. C. Chen:       Ni-Bin Chang
                       Jeng-Chung Chen
Fuzzy Sets and Systems archive
Volume 129 , Issue 3 (August 2002) Control and applications citation

Table of Contents
Semiglobal stabilization of nonlinear systems using fuzzy control and singular
perturbation methods
C. I. Siettos, G. V. Bafas
Pages: 275 - 294
Additional Information: full citation, abstract, references, index terms

Generalization of stability criterion for Takagi--Sugeno continuous fuzzy model
Fernando Matía, Basil M. Al-Hadithi, Agustín Jiménez
Pages: 295 - 309
Additional Information: full citation, abstract, references, index terms

Analytical structures and analysis of fuzzy PD controllers with multifuzzy sets having
variable cross-point level
Ambalal V. Patel
Pages: 311 - 334
Additional Information: full citation, abstract, references, index terms

Decoupled fuzzy controller design with single-input fuzzy logic
Shi-Yuan Chen, Fang-Ming Yu, Hung-Yuan Chung
Pages: 335 - 342
Additional Information: full citation, abstract, references, index terms

GA-based fuzzy neural controller design for municipal incinerators
W. C. Chen, Ni-Bin Chang, Jeng-Chung Chen
Pages: 343 - 369
Additional Information: full citation, abstract, references, index terms

Combined fuzzy logic and genetic algorithm techniques-application to an electromagnetic
field problem
I. G. Damousis, K. J. Satsios, D. P. Labridis, P. S. Dokopoulos
Pages: 371 - 386
Additional Information: full citation, abstract, references, index terms

Application of fuzzy set theory to the change intervals at a signalized intersection
K. Y. Kuo, J. Lin
Pages: 387 - 403
Additional Information: full citation, abstract, references, index terms

Recent literature
Didier Dubois, Henri Prade, Salvatore Sessa
Pages: 405 - 413
Additional Information: full citation, index terms



A complete fuzzy decision tree technique
Cristina Olaru, Louis Wehenkel
Pages: 221 - 254
Additional Information: full citation, abstract, references, index terms

Fuzzy data mining for interesting generalized association rules
Tzung-Pei Hong, Kuei-Ying Lin, Shyue-Liang Wang
Pages: 255 - 269
Additional Information: full citation, abstract, references, index terms

Support vector fuzzy regression machines
Dug Hun Hong, Changha Hwang
Pages: 271 - 281
Additional Information: full citation, abstract, references, index terms

Support vector interval regression networks for interval regression analysis
Jin-Tsong Jeng, Chen-Chia Chuang, Shun-Feng Su
Pages: 283 - 300
Additional Information: full citation, abstract, references, index terms

A note on fuzzy regression model with fuzzy input and output data for manpower
forecasting
Dug Hun Hong, Hwa-Cho Yi
Pages: 301 - 305
Additional Information: full citation, abstract, references, index terms

A hierarchical knowledge-based environment for linguistic modeling: models and iterative
methodology
O. Cordón, F. Herrera, I. Zwir
Pages: 307 - 341
Additional Information: full citation, abstract, references, index terms

Modeling of hierarchical fuzzy systems
Ming-Ling Lee, Hung-Yuan Chung, Fang-Ming Yu
Pages: 343 - 361
Additional Information: full citation, abstract, references, index terms

Sparse data in the evolutionary generation of fuzzy models
Daniel Spiegel, Thomas Sudkamp
Pages: 363 - 379
Additional Information: full citation, abstract, references, index terms

Evolving two-dimensional fuzzy systems
Víctor M. Rivas, J. J. Merelo, I. Rojas, G. Romero, P. A. Castillo, J. Carpio
Pages: 381 - 398
Additional Information: full citation, abstract, references, index terms

Hybrid identification in fuzzy-neural networks
Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park
Pages: 399 - 426
Additional Information: full citation, abstract, references, index terms

Neuro-fuzzy system with learning tolerant to imprecision
Jacek M. Łȩski
Pages: 427 - 439
Additional Information: full citation, abstract, references, index terms

Notes on the approximation rate of fuzzy KH interpolators
Domonkos Tikk
Pages: 441 - 453
Additional Information: full citation, abstract, references, index terms
 1.     Advanced Fuzzy-Neural Control 2001
        Book, 2002, by P. Albertos



      Title:
      Advanced Fuzzy-Neural Control 2001           View all information about this product

      Description:
      ...engineering areas. Fuzzy systems, neural networks, genetic algorithms...with
      approximate knowledge. Fuzzy logic controllers are undoubtedly one of
      the...summarises ideas and conclusions on fuzzy logic controllers from the experts
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      Book: Table of contents
      ...systems with fuzzy DMC controllers (P. Marusak...using neuro-fuzzy
      modeling...decentralized neural-network sliding-mode robot controller
      (R.Safaric...multivariable neural predictive...heuristic-based fuzzy logic
      controllers? foundations...


 2.     Artificial Intelligence in Real-Time Control 2000
        Book, 2001, by I.J. Rudas



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      Book: Table of contents
      ...generalised neural networks...of local controller networks/Takagi-Sugeno fuzzy
      controllers...generating fuzzy-neural controller (I. Petrovic...support vector neural
      networks...placement controller design based on fuzzy process model...

 3.     Robot Control 2000 (SYROCO'00) (2-volume set)
        Book, 2001, by P. Kopacek

Editor:
P. Kopacek , Institute for Handling Devices and Robotics, Vienna University of Technology,
Favoritenstr, Vienna, Austria

Description
This Proceedings contains the papers presented at the sixth IFAC Symposium on "Robot
Control 2000 - SYROCO 00", held in Vienna, Austria, on 21- 23 September 2000.
The contributions cover the whole field of robot control starting with the classical subjects like
non-linear, robust and hybrid control, force and tracking control, modelling and identification,
simulation and education, neutral and fizzy control. But new robot applications require new
robot concepts and new control tasks. In consequence most of the contributions deal with
mobile, intelligent robots and multiple robot systems but also new applications like
disassembly. One of the fastest growing fields in the last three years is development and
control of robots for entertainment, leisure and hobby.
In four survey papers the state of the art in robot control and further developing trends were
emphasised. Because the field of robotics is growing up today in smaller countries two
presentations deal with robots in Brazil and Macedonia. The very important field of sensor
fusion and an industrial view of future developments in robot control were also topics of
survey papers.

Audience
For manufacturing engineers, design engineers, product development teams, control
engineers, computer scientists and robotics engineers.

Contents


Section Headings.


Survey Papers.
Sensor Fusion (J. Sasiadek). MANET: Brazilian Cooperative Research Network on
Manufacturing (J.R. Silva et al.). IDA - Interface for Distributed Automation Standardization of
the Automation Network (P. Klüger). Research in Robotics and Flexible Automation: What May
be Feasible in Small Developing Countries? (G.M. Dimirovski).

Control.
Fault Detection and Isolation for Mechanical Manipulators via Luenberger Observers (M.H.
Terra et al.). Special Control Features of Manipulative Systems with Unsteady Base (Y.P.
Kondratenko, G.V. Kondratenko). PI Disturbance Estimator In Position Control of Direct Drive
Robot (A. Rojko, K. Jezernik). Robot Fine-Motion Control (J. Warczyński). Sliding Modes with
Continuous Controllers for Robot Manipulators: Theory and Experiments (V. Parra-Vega et
al.). Adaptive Impedance Control for a Bilateral Robot Teleoperation System (J.F. Postigo, R.
Carelli). Using Redundancy to Perform a Vision-Based Task Amidst Obstacles (V. Cadenat et
al.). Tracking Robust Impedance Robot Control with Visual Feedback (V. Mut et al.).

Nonlinear Control.
Nonlinear PID Predictive Control of Robotic Manipulators (W.-H. Chen). Extensions of
Nonlinear Control Concept to Object Manipulation with Finger Relocation (I. Harmati et al.).
Nonlinear Position Control By Using Multiple Position-Dependent Self-Organizing Fuzzy Logic
Controllers (Z. Kovacic et al.).

Robust and Hybrid Control.
Robust Position Control of Mechanical Manipulators (R.V.B. Henriques, J.J. da Cruz). Robust
Motion Control Algorithm for Direct Drive Robot. (A. Hace, K. Jezernik). Fault Tolerant Control
Of Mechanical Manipulators: A Hybrid Systems Approach (M. Bergerman et al.).

Neural And Fuzzy Control.
Fuzzy Adaptation and Free-Space Attraction for Mobile Robot Navigation (L. McFetridge, M.Y.
Ibrahim). Fuzzy Collision Avoidance using Stereo-Vision (A. Bischoff, M. Gerke). Neural
Networks in the Control of a Mobile Platform (V.M. De Oliveira et al.). Centralized Neural-
Network Sliding-Mode Direct-Drive Robot Controller (R.Šafarič, K. Jezernik). Velocity and
Torque Feedback Control of a Nonholonomic Mobile Robot using Fuzzy-Neural Networks (A.
Pajaziti et al.).

End Effectors.
Contact Identification for Robotic Assembly Tasks with Uncertainty (J. Rosellet al.). Principle
of Superposition for Controlling Pinch Motions by Means of Robot Fingers with Soft Tips (S.
Arimotoet al.). Development and Control of Touch and Force Display Devices for Haptic
Interface (T. Yoshikawa, A. Nagura).

Force and Tracking Control.
Robot Force Control Experiments in Non-Rigid Environments (L.F. Baptista, J.M.G. Sá Da
Costa). Finite-Time Tracking For Robot Manipulators with Continuous Control (V. Parra-Vega,
G. Hirzinger). On-Line Reconfiguration of Real-Time Robot Motion and Force Control (A.
Robertsson et al.). Behavioural Modules in Force Control of Robotic Manipulators (T.G.
Williams, N.W. Hardy). Kinematic Control of Redundant Manipulators with On-Line End-
Effector Path Tracking Capability Under Velocity and Acceleration Constraints (G. Antonelli et
al.).

Sensor-Based Control.
Visual Servoing of Fully Actuated Mobile Robots with Significant Dynamics (R.Mahony, T.
Hamel). Real-Time Virtual Sensors (E. Armstrong, N. Hardy). Advanced Control Strategy For
The Visual Servoing Scheme (S. Tarbouriech, P. Souères). Comparison of Prediction Methods
for Vision-Based Control of Motion (S. Chroust, M. Vincze). Absolute Precision Improvement of
an Industrial Six-Axis Robot with Cameras (M. Coudurier et al.). Structuring of Merged Robot
Vision and Automated Visual Inspection Tasks (Th. Borangiu, N. Ivanescu). 2D Visual
Servoing on Complex Shapes Based on a Polar Description (C. Collewet et al.).

Control Of Multiple Robots.
Spatial Impedance Control in Coordinated Manipulation (A. Fargas-Marqùes et al.). Robots
Optimal Placement for Cooperatively Manipulation (R. Costa-Castelló, L. Basañez). Dwell Time
Switching Control For Cooperative Work of Two Mobile Manipulators (M. Sano et al.). Real-
Time Co-Ordination of Multiple Robots with Temporal Uncertainty (G. Raush, R. Suárez). On
Motion Planning for Robotic Manipulation with Rolling Contacts (B. Kiss et al.). Adaptive
Coordinated Control of Multiple Robot Arms (H. Kawasaki et al.). Object Reconfiguration with
Multiple Robotic Arms Using an Additional Static Contact Surface (G. Vass et al.).

Modeling And Identification.
Modeling of Flexible Manipulators for Control Design (J. Martins et al.). Determination of
Dynamic Parameters of Robots by Base Sensor Measurements (M. Grotjahn, B. Heimann).
Experiments on Model Identification and Control of an Industrial Robot Manipulator (A. Visioli,
G. Legnani). Mathematical Model of a Skid-Steered Mobile Robot (F. Šolc et al.).

Redundant Robots.
Chaotic Behavior in the Pseudoinverse Control of Redundant and Hyper-Redundant Robots
(F.B.M. Duarte, J.A.T. Machado). Hyper Redundant Manipulator Using Compound Three-Bar
Linkages (K. Koganezawa, T. Kinoshita).

Flexible Structures.
Direct and Fuzzy Control of a Two-Link Flexible Robot Manipulator (A. Green, J.Z. Sasiadek).
End-Effector Motion Planning for One-Link Flexible Robot (M. Benosman, G. Le Vey). Accurate
Trajectory Tracking of Flexible Arm End-Point (M. Benosman, G. Le Vey). Iterative Learning
Control Of A Flexible Mechanical System using Accelerometers (S. Gunnarsson, M. Norrlof).
Sliding Mode Tracking Control for a Single-Link Flexible Robot Arm (D. Hisseine, B. Lohmann).

Mobile Robots.
The Effects of Real-Time Scheduling in Multirate Digital Control (L. Palopoli et al.). Docking-
Procedure for a Non-Holonomic Mobile Platform Based on Visual Servoing (T. Lietmann, B.
Lohmann). Stabilization of the Extended Nonholonomic Double Integrator via Logic-Based
Hybrid Control (A.P. Aguiar, A. Pascoal). A "Tool Kit" for Intelligent, Mobile Robots (N.
Chivarov et al.). Dead-Reckoning for a Wheeled Mobile Robot on Curved Surfaces (J.H. Kim).
Range-Data Based Position Localization and Refinement for a Mobile Robot (B. ChmelaŘ et
al.). Model Creation For Mobile Robots Using 2-D Data And Features (A. Barta).
Microprocessor Based Mobile Robot Control System (V. KaŠík, M. Pokorný).

Path Planning Of Mobile Robots.
Localization Of Mobile Robots In Environments with Non-Smooth Geometry (F.M. Antoniali, G.
Oriolo). A Case-Based Approach to Indoor Navigation Using Sonar Maps (A. Micarelli et al.).
An Experimental Comparison of Redundancy Resolution Schemes (A. Bettini et al.). Building
Globally Consistent Gridmaps From Topologies (T. Duckett, A. Saffiotti). Odometry and Sonar
Data Fusion for Mobile Robot Navigation (J.Z. Sasiadek, P. Hartana). An Improved Algorithm
for Finding the Time-Minimal Motion for an AGV in Time Dependent Environments (A.
Diamantopoulos et al.). INS/GPS Navigation Data Fusion using Fuzzy Adaptive Kalman
Filtering (J.Z. Sasiadek et al.). Mobile Non-Holonomic Robots: On Trajectory Generation and
Obstacle Avoidance (G.M. Dimirovski).
Modeling And Control Of Mobile Robots.
Robust Control of a Mobile Robot Subject to Skidding Effects: A Sliding-Mode Controller Using
the Kinematic Model and Its Experimental Testing (M.L. Corradini et al.). Practical
Implementation of a Hamiltonian-Based Controller for a 2-DOF Platform (F. Gómez-Esternet
al.). Modeling and Control of Mobile Manipulators (I. Duleba).

Walking Robots.
Hybrid Position/Force Algorithms for Biped Locomotion (F.M. Silva, J.A.T. Machado). Controller
Design for a Biped Jogging Robot (K. Löffler et al.). Analysis of Consumption of Energy on
Biped Robot (A. Torige, Y. Shimomoto). Climbing Parallel Robots Morphologies (R. Aracil et
al.).

Applications.
A Model Based ILC Method Applied to a Commercial Industrial Robot (M. Norrlöf, S.
Gunnarsson). A Force Referenced Bilateral Control Scheme for Heavy-Duty Power
Manipulators (S.H. Ahn et al.). Curved Path Following of a Farm Tractor using a CP-DGPS (L.
Cordesses et al.). Assortment of Materials Due to Visual Characteristics by a Robotic Arm (E.
Uyar, Ö. Erünver).

Underwater Robots.
Control of Underwater Vehicle-Manipulator Systems using only Position and Orientation
Measurements (G. Antonelli et al.). Path Following for Marine Vehicles in the Presence of
Unknown Currents (P. Encarnação et al.). Position/Force Control of an Underwater Vehicle
Equipped with a Robotic Manipulator (P. Fraisseet al.). Interactive Design of Control Schemes
and Obstacle Avoidance Strategies for UUVS (G. Conte et al.).

Flight Robots.
Guidance Control Strategies for an Autonomous Unmanned Airship (J.R. Azinheira et al.).
AGPL and GUSTAV Synergy Effects in Mechatronic System Design (B. Steckemetz).
Subsystem of Position Measurement of Autonomous Pilotless Flight Means DAW I (B. Horak).

Control Of Entertainment Robots.
Robots in Entertainment, Leisure and Hobby: New Tasks for Robot Control (P. Kopacek).
Layered Multi-Agent Reactive-Behavior Learning in a Robotic Soccer (A.V. Topalov et al.). A
Robot Playing Scrabble Using Visual Feedback (J. Bengtsson et al.).

Simulation And Education.
Simulation of Robot Motions by Kinematic Configuration Control (S. Alfs et al.). RobLib: An
Educational Program for Robotics (N.M.F. Ferreira, J.A.T. Machado). Intelligent Control Station
For A Robot-Tended Adaptive Machine Tool (Th. Borangiu, N. Ivanescu).

Various Aspects.
Data Fusion For Visual And Ultrasonic Map-Building (A. Bonci et al.). An Environment for
Autonomous Systems Development (J.C.B. De C. Ferreira et al.). Trajectory Profiler
Classification (M. Boric, I. Cohen). Singularities and Mobility of Nonholonomic Systems: The
Ball Rolling on a Plane (R. Muszyński, K. Tchón). Manipulability Sub-Ellipsoids (I. Duleba).
Stiffness Control of Multiple DOF Tendon-Driven Joint (K. Koganezawa, M. Yamazaki). Self-
Correcting Trajectory Planning Using Modified Visibility Graph (A.R. Wolczowski). Cartesian
Control of Robots with Working-Position Dependent Dynamics (T. Ortmaier, G. Hirzinger). The
Development of a Robot Hand for the Automation of Steel Column Construction (H.-J. Sim,
C.-S. Han). Design of a Hybrid External Structure for a Multi-Fingered Hand (C. Remond et
al.). About one Method of Telecontrol by Manipulator (V.F. Filaretov, G.P. Kihney). Structural
Representation for Problems of Mechanical Systems Modeling and Synthesis (M.F. Kirichenko
et al.).

Ramsete.
Impact Control in Robotics: A Brief Survey (M. Indri). Driving A Servo System With An
Impedance Controller (G. Ferretti et al.). Design of Functional and Algorithmic Control
Architectures for Multirobot Systems (G. Casalino et al.). Observability and Nonlinear
Observers for Mobile Robot Localization (F. Conticelli et al.). Real-Time Linux Control of a
Haptic Interface for Visually Impaired Persons (A. Macchelli et al.). Impedance Control for a
Class of Parallel Robots (F. Caccavale et al.). Intermittent Feedback Strategies for the
Predictive Control of a Flexible Link: Experimental Results (M.L. Fravolini et al.). Stabilization
of the Unicycle via Dynamic Feedback Linearization (A. De LUCAet al.). A Stereo Vision Based
Docking Procedure for a Mobile Robot (S. Panzieriet al.). Multisensor Fusion for Mobile Robot
Positioning and Navigation (A. Martinelli et al.). Author Index.

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 4.    Fault Detection, Supervision and Safety for Technical Processes 2000 (SAFEPROCESS
       2000)
       Book, 2001, by A.M. Edelmayer


Title:
     Fault
     Detection,
     Supervision
     and Safety for
     Technical      View all information about this product
     Processes
     2000
     (SAFEPROCESS
     2000)

      Book: Table of contents
      ...detection based on fuzzy neural networks - application...radial basis function
      neural network (I. Dalmi...Development of a fuzzy-based diagnosis system...fast
      takagi-sugeno fuzzy modeling (M. Männle...industrial process controllers: an
      application of...




 7.    Intelligent Components and Instruments for Control Applications 2000
       Book, 2001, by A.T. Casucci

Included in series
IFAC Proceedings Volumes,

Click here to view the full contents in pdf format.

Description
This Proceedings contains the papers presented at the IFAC Symposium on Intelligent
Components and Instruments for Control Applications held at Buenos Aires on 13 - 15
September 2000.
The scope of the Papers included in this Proceedings provides an insight into the application of
control instruments in a wide variety of situations, from the general to the specific. The main
topics that are embraced by this collection are the teaching of and learning by machines, and
also the self diagnosis of faults and necessary adaptation or correction by machines.

Audience
For scientists, suppliers and users of new intelligent techniques in the fields of sensors,
actuators, instruments and their applications in advanced control and measurement systems.

Contents


Section Headings and Selected Papers.


Plenary Paper I.
A new class of intelligent sensors for the inner space monitoring of the vehicle of the future
(S. Boverie).

Applications I.
The impact of an integrated solutions philosophy on control systems at Papelera del Plata
Paper Mill (S. Parlapiano).

Buses/Distributed Control I.
Verification method of interoperability for real time systems (L. Kaiser et al.).

Plenary Paper II.
The research and possible future for fieldbuses (J.-P. Thomesse).

Sensors and Intelligent Instruments I.
Virtual intelligent sensors on wide plant control applications: an approach (R. Ferreiro García
et al.).

Neural Networks/Fuzzy Control/Modeling I.
Generalized predictive control of a nonlinear process using fuzzy model (D. Matko, K. Kavšek-
Biasizzo).

Robotics I.
World modeling and position estimation for a mobile robot using self-organizing networks (R.
Marqués et al.).

Plenary Paper III.
Learning and adaptation for intelligent automation (T. Fukuda, Y. Hasegawa).

Theory/Education.
Robust model following control system (S. Skoczowski, S. Domek).

Fault Detection and Isolation.
Non sinusoidal residual generation for FDI of induction motor (C. Christophe et al.).

Applications II.
Nonlinear model predictive control via feedback linearization of a greenhouse (S. Piñón et al.).

Plenary Paper IV.
Intelligent use of virtual sensors for control applications (P. Albertos, G.C. Goodwin).

Buses/Distributed Control II.
Using IA algorithm to improve consistencies in real-time fieldbus (L.R.H.R. Franco, A.M.
Henriques).
Robotics II.
A control system modification in the Scorbot-er VII robot controller (J. Pérez et al.).

Sensors and Intelligent Instruments II.
Safety analysis on reconfigurable systems using an external model of intelligent components
(C. Choukair, M. Bayart).

Neural Networks/Fuzzy Control/Modeling II.
Preliminary studies about the incidence of different inference methods in control variables of a
fuzzy controlled induction-motor (G. Acosta et al.).

Low Cost Automation.
Intelligent DSP-based motion control of a brushless D.C. motor (S. Dumitriu).

Bibliographic & ordering Information
Paperback, ISBN: 0-08-043244-1, 356 pages, publication date: 2001
Imprint: PERGAMON
Price: Order form
EUR 93
USD 93

Books and electronic products are priced in US dollars (USD) and euro (EUR). USD prices
apply world-wide except in Europe and Japan. EUR prices apply in Europe and Japan.

See also information about conditions of sale & ordering procedures, and links to our regional
sales offices.


 9.    Techniques for Adaptive Control
       Book, 2002, by Vance VanDoren




                         To order this title, and for more information, go to
      http://books.elsevier.com/bookscat/links/details.asp?isbn=0750674954

      Edited By
      Vance VanDoren , Ph.D., P.E., Control Engineering Magazine

      Description
      Techniques for Adaptive Control compiles chapters from a team of expert contributors
      that allow readers to gain a perspective into a number of different approaches to
      adaptive control. In order to do this, each contributor provides an overview of a particular
      product, how it works, and reasons why a user would want it as well as an in depth
      explanation of their particular method. This is one of the latest technologies to emerge in
      the instrumentation and control field. These latest control methodologies offer a means to
      revolutionize plant and process efficiency, response time and profitability by allowing a
      process to be regulated by a form of rule-based AI, without human intervention. Rather
      than the common academic-based approach that books on this subject generally take,
      the contributions here outline practical applications of adaptive control technology
    allowing for a real look inside the industry and the new technologies available.

    Audience
    Instrumentation and control engineers and software developers, plant engineers,
    managers and technical sales staff Students, teachers and researchers in control
    engineering

    Contents
    Adaptive Tuning Methods of the Foxboro I/A System; Controller Structure; Minimum
    Variance Control; Control by Minimizing Sensitivity to Process Uncertainty; Algebraic
    Controller Design for Load Rejection and Shaped Transient Response; Algebraic Tuning of
    a Controller with Deadtime; Robust Adaptation of Feedback Controller Gain Scheduling;
    Feedforward Control; Adaptation of Feedforward Load Compensators; The Exploitation of
    Adaptive Modelling in the Model Predictive Control Environment of Connoisseur; Model
    Structures; Issues for Identification; Adaptive Modelling; Other Methods; Simulated case
    study on a Fluid Catalytic Cracking Unit; Adaptive Predictive Regulatory Control with
    BrainWave?; The Laguerre Modelling Method; Why the Laguerre Method is Used for
    Identification; Why Modelling Techniques, Trade-Offs; Formulas Used; Building the
    Adaptive Predictive Controller Based on a Laguerre State Space Model; The Concepts
    Behind MBPC; A Simple Predictive Control Law; The Indirect Adaptiver Predictive Control
    Solution; Feedforward Variables used in Modelling and Control; Why Simpler is Better; A
    Laguerre Based Controller for Integrating Systems; Identification and Disturbance
    Estimation for Integrating Systems; The Controller; Practical Issues for Implenting
    Adaptive Predictive Controllers; Integration with Existing Control System Equipment;
    Ensuring Successful Identification; Treating Self-Regulating as Integrating Systems;
    Choosing Appropriate Feedforward Variables; Determining when the Controller Setup is
    Correct and Complete; Simulation Examples; Model Identification in Closed Loop; Model
    Identification for Feedforward Variables in Closed Loop; Integrating and Self-Regulating
    System Control; Industrial Application Examples; Applications to Batch Reactors;
    Advanced Control of a Steam Header Pressure, Saveall Consistency and Reel Brightness
    in a TMP Newsprint Mill; Adaptive Predictive Control of a Glass Forehearth; Model-Free
    Adaptive Control; Model-Free Adaptive Control (MFA); MFA Control Methodology and
    Applications; Expert-Based Adaptive Control - ControlSoft's INTUNE Adaptive and
    Diagnostic Software; Identification-Based Adaptive Control; Expert-Based Adaptive
    Control, ControlSoft's INTUNE; Concluding Observations; KnowledgeScape, an Object-
    oriented Real-time Adaptive Modeling and Optimization Expert Control System for the
    Process Industries; Intelligent Software Objects and their use in KnowledgeScape;
    Artificial Intelligence and Process Control; Neural Networks; Genetic Algorithms; Crisp
    Rules; Fuzzy Rules; Putting it all together; Configuring an application in
    KnowledgeScape; Writing crisp and expert control rules; Creating adaptive, on-line neural
    models of the process; Creating genetic algorithm optimizers for the process; Results in
    the Minerals Processing Industry

    Bibliographic & ordering Information
    Paperback, ISBN: 0-7506-7495-4, 275 pages, publication date: 2002
    Imprint: BUTTERWORTH HEINEMANN

Primární prameny- výstupy z datových skladů universit: (dá se pouze takto stáhnout, pokud se
vám bude hodit, lze jej vytisknout).
KONEC PRVNÍ ČÁSTI REŠERŠE
    ČÁST 2 - viz. R00014

				
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