Ebook: Mutual Impact of Computing Power and Control Theory

Recent rapid developments in computing power, such as parallel processing and neural networks, have stimulated new trends in control. However a discrepancy exists between available computing power and exploitable algorithms obtained classically from control theory. The aim of this book is to address the discrepancy from both the com­ putational power and control theory viewpoints. Areas such as identification, adaptive control, signal processing and neural networks therefore hold a prominent position in the text presented. The form of the book is such that it should be useful for readers at various levels, particularly those at the research and/or application stage. The book has resulted from the IFAC Workshop on the Mutual Impact of Computing Power and Control Theory, which was held at the Institute of Information Theory and Automation (UTIA), Prague, in September 1992. Organisation of the event was provided jointly by the Department of Adaptive Systems, UTIA, Prague and the School of Engineering and Information Sciences, University of Reading, UK. Selected papers from the Workshop have been chosen to give a good balance across the field, whilst at the same time highlighting important areas for future research. In this way the book represents edited Proceedings from the Workshop. One point, quickly apparent, is the international nature of the presentations themselves, which provide not only a technical appraisal of the field but also inject cultural aspects which are vitally important on the path ahead.

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Upcoming Numerical Linear Algebra Issues in Systems and Control Theory (P. Van Dooren). Sidestepping the Certainty Equivalence in 2DOF Adaptive Control Via the Multiple Implicit Identifiers (E. Mosca et al.). Complexity of Dynamic Models for Intelligent Control (K.M. Hangos). The Most Simple Systolic Architectures for Parallel Probabalistic Searching Algorithms (I. Kramosil). On the Riemannian Interpretation of the GaussNewton Algorithm (B. Hanzon, R.L.M. Peeters). A Numerical Method for Computing the Approximate Solution of the InfiniteDimensional DiscreteTime Optimal Linear Filtering Problem (L. Jetto). Smart Matrices (P. Kovanic). Branch and Bound Algorithm for Global Optimization in Control Theory (S. Balemi, V. Balakrishnan). Mapping LQ Control Design on FixedSize Array Processors (L. Chisci, G. Zappa). Identification of DataCompatible Models for Control Applications (R.P. Guidorzi, A. Stoian). 19 additional articles. Index.

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Upcoming Numerical Linear Algebra Issues in Systems and Control Theory (P. Van Dooren). Sidestepping the Certainty Equivalence in 2DOF Adaptive Control Via the Multiple Implicit Identifiers (E. Mosca et al.). Complexity of Dynamic Models for Intelligent Control (K.M. Hangos). The Most Simple Systolic Architectures for Parallel Probabalistic Searching Algorithms (I. Kramosil). On the Riemannian Interpretation of the GaussNewton Algorithm (B. Hanzon, R.L.M. Peeters). A Numerical Method for Computing the Approximate Solution of the InfiniteDimensional DiscreteTime Optimal Linear Filtering Problem (L. Jetto). Smart Matrices (P. Kovanic). Branch and Bound Algorithm for Global Optimization in Control Theory (S. Balemi, V. Balakrishnan). Mapping LQ Control Design on FixedSize Array Processors (L. Chisci, G. Zappa). Identification of DataCompatible Models for Control Applications (R.P. Guidorzi, A. Stoian). 19 additional articles. Index.
Content:
Front Matter....Pages i-xi
Upcoming Numerical Linear Algebra Issues in Systems and Control Theory....Pages 1-11
On Design of Approximate Finite-Dimensional Estimators: The Bayesian View....Pages 13-39
Sidestepping the Certainty Equivalence in 2-DOF Adaptive Control Via Multiple Implicit Identifiers....Pages 41-64
Simulation and Control of Gas Transport and Distribution by Large-Scale Pipeline Networks....Pages 65-75
Complexity of Dynamic Models for Intelligent Control....Pages 77-95
The Most Simple Systolic Architectures for Parallel Probabilistic Searching Algorithms....Pages 97-109
On the Riemannian Interpretation of the Gauss-Newton Algorithm....Pages 111-121
Recursive Least Squares Approximation of Bayesian Non-Gaussian/Non-Linear Estimation....Pages 123-134
Fundamental Properties of Real Computers....Pages 135-150
A Numerical Method for Computing the Approximate Solution of the Infinite-Dimensional Discrete-Time Optimal Linear Filtering Problem....Pages 151-158
Smart Matrices....Pages 159-167
Branch and Bound Algorithm for Global Optimization in Control Theory....Pages 169-179
Mapping LQ Control Design on Fixed-Size Array Processors....Pages 181-193
Identification of Data-Compatible Models for Control Applications....Pages 195-211
MIMO — A Set of SISO ?....Pages 213-224
Extensions of Standard CADCS Environment for Parallel Computation and Real Time Control....Pages 225-232
On the Ordering of Characteristic Input-Output Modes in MIMO Discrete-Time Systems....Pages 233-243
Regularised Lattice-Ladder Adaptive Filter....Pages 245-257
Neural Network Applications — Case Studies....Pages 259-271
A Virtual Software Environment for Artificial Neural Networks on General Purpose Parallel Architectures....Pages 273-279
Shape Discrimination and Classification in Robotic Vision Using Scaled Normalized Central Moments....Pages 281-287
Autotuned Predictive Control....Pages 289-300
Multivariable Constrained Adaptive Predictive Control Based on Pole Placement Design....Pages 301-310
The Epsilon — Ritz Method for Solving Optimal Control Problems on Parallel Computers....Pages 311-337
Robust PID Control....Pages 339-348
Advanced Algorithms Contra Lack of Computing Power....Pages 349-352
Personal-Computer-Oriented Systems of Adaptive Identification....Pages 353-356
Predictive Control with Constrained Spline Input Signal....Pages 357-367
Expert System-Driven Controllers....Pages 369-377
Back Matter....Pages 379-385

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Upcoming Numerical Linear Algebra Issues in Systems and Control Theory (P. Van Dooren). Sidestepping the Certainty Equivalence in 2DOF Adaptive Control Via the Multiple Implicit Identifiers (E. Mosca et al.). Complexity of Dynamic Models for Intelligent Control (K.M. Hangos). The Most Simple Systolic Architectures for Parallel Probabalistic Searching Algorithms (I. Kramosil). On the Riemannian Interpretation of the GaussNewton Algorithm (B. Hanzon, R.L.M. Peeters). A Numerical Method for Computing the Approximate Solution of the InfiniteDimensional DiscreteTime Optimal Linear Filtering Problem (L. Jetto). Smart Matrices (P. Kovanic). Branch and Bound Algorithm for Global Optimization in Control Theory (S. Balemi, V. Balakrishnan). Mapping LQ Control Design on FixedSize Array Processors (L. Chisci, G. Zappa). Identification of DataCompatible Models for Control Applications (R.P. Guidorzi, A. Stoian). 19 additional articles. Index.
Content:
Front Matter....Pages i-xi
Upcoming Numerical Linear Algebra Issues in Systems and Control Theory....Pages 1-11
On Design of Approximate Finite-Dimensional Estimators: The Bayesian View....Pages 13-39
Sidestepping the Certainty Equivalence in 2-DOF Adaptive Control Via Multiple Implicit Identifiers....Pages 41-64
Simulation and Control of Gas Transport and Distribution by Large-Scale Pipeline Networks....Pages 65-75
Complexity of Dynamic Models for Intelligent Control....Pages 77-95
The Most Simple Systolic Architectures for Parallel Probabilistic Searching Algorithms....Pages 97-109
On the Riemannian Interpretation of the Gauss-Newton Algorithm....Pages 111-121
Recursive Least Squares Approximation of Bayesian Non-Gaussian/Non-Linear Estimation....Pages 123-134
Fundamental Properties of Real Computers....Pages 135-150
A Numerical Method for Computing the Approximate Solution of the Infinite-Dimensional Discrete-Time Optimal Linear Filtering Problem....Pages 151-158
Smart Matrices....Pages 159-167
Branch and Bound Algorithm for Global Optimization in Control Theory....Pages 169-179
Mapping LQ Control Design on Fixed-Size Array Processors....Pages 181-193
Identification of Data-Compatible Models for Control Applications....Pages 195-211
MIMO — A Set of SISO ?....Pages 213-224
Extensions of Standard CADCS Environment for Parallel Computation and Real Time Control....Pages 225-232
On the Ordering of Characteristic Input-Output Modes in MIMO Discrete-Time Systems....Pages 233-243
Regularised Lattice-Ladder Adaptive Filter....Pages 245-257
Neural Network Applications — Case Studies....Pages 259-271
A Virtual Software Environment for Artificial Neural Networks on General Purpose Parallel Architectures....Pages 273-279
Shape Discrimination and Classification in Robotic Vision Using Scaled Normalized Central Moments....Pages 281-287
Autotuned Predictive Control....Pages 289-300
Multivariable Constrained Adaptive Predictive Control Based on Pole Placement Design....Pages 301-310
The Epsilon — Ritz Method for Solving Optimal Control Problems on Parallel Computers....Pages 311-337
Robust PID Control....Pages 339-348
Advanced Algorithms Contra Lack of Computing Power....Pages 349-352
Personal-Computer-Oriented Systems of Adaptive Identification....Pages 353-356
Predictive Control with Constrained Spline Input Signal....Pages 357-367
Expert System-Driven Controllers....Pages 369-377
Back Matter....Pages 379-385
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