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Mutual Impact of Computing Power and Control Theory

By: K. Warwick (Editor), M. Karny (Editor)

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402 Pages

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23.0 x 17.78 x 1.91

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Resulting from the IFAC Workshop on [title], held in Prague, Czech Republic, September 1992, this volume addresses the discrepancy between available computing power and exploitable algorithms obtained classically from control theory, from both the computational power and control theory viewpoints. A

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Published: 24th October 2012

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Upcoming Numerical Linear Algebra Issues in Systems and Control Theory	p. 1
On Design of Approximate Finite-Dimensional Estimators: the Bayesian View	p. 13
Sidestepping the Certainty Equivalence in 2-DOF Adaptive Control Via Multiple Implicit Identifiers	p. 41
Simulation and Control of Gas Transport and Distribution by Large-Scale Pipeline Networks	p. 65
Complexity of Dynamic Models for Intelligent Control	p. 77
The Most Simple Systolic Architectures for Parallel Probabilistic Searching Algorithms	p. 97
On the Riemannian Interpretation of the Gauss-Newton Algorithm	p. 111
Recursive Least Squares Approximation of Bayesian Non-Gaussian/Non-Linear Estimation	p. 123
Fundamental Properties of Real Computers	p. 135
A Numerical Method for Computing the Approximate Solution of the Infinite-Dimensional Discrete-Time Optimal Linear Filtering Problem	p. 151
Smart Matrices	p. 159
Branch and Bound Algorithm for Global Optimization in Control Theory	p. 169
Mapping LQ Control Design on Fixed-Size Array Processors	p. 181
Identification of Data-Compatible Models for Control Applications	p. 195
MIMO - A Set of SISO? Multivariate System Adaptively Controlled as a Set of Single-Input Single-Output Models	p. 213
Extensions of Standard CADCS Environment for Parallel Computation and Real Time Control	p. 225
On the Ordering of Characteristic Input-Output Modes in MIMO Discrete-Time Systems	p. 233
Regularised Lattice-Ladder Adaptive Filter	p. 245
Neural Network Applications - Case Studies	p. 259
A Virtual Software Environment for Artificial Neural Networks on General Purpose Parallel Architectures	p. 273
Shape Discrimination and Classification in Robotic Vision Using Scaled Normalized Central Moments	p. 281
Autotuned Predictive Control	p. 289
Multivariable Constrained Adaptive Predictive Control Based on Pole Placement Design	p. 301
The Epsilon - Ritz Method for Solving Optimal Control Problems on Parallel Computers	p. 311
Robust PID Control	p. 339
Advanced Algorithms Contra Lack of Computing Power	p. 349
Personal-Computer-Oriented Systems of Adaptive Identification	p. 353
Predictive Control with Constrained Spline Input Signal	p. 357
Expert System-Driven Controllers	p. 369
Index	p. 379
Table of Contents provided by Blackwell. All Rights Reserved.

Mutual Impact of Computing Power and Control Theory

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