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...

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Bibliographic Details
Other Authors: Kárny, M. (Editor), Warwick, K. (Editor)
Format: eBook
Language:English
Published: New York, NY Springer US 1993, 1993
Edition:1st ed. 1993
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • Upcoming Numerical Linear Algebra Issues in Systems and Control Theory
  • On Design of Approximate Finite-Dimensional Estimators: the Bayesian View
  • Sidestepping the Certainty Equivalence in 2-DOF Adaptive Control Via Multiple Implicit Identifiers
  • Simulation and Control of Gas Transport and Distribution by Large-Scale Pipeline Networks
  • Complexity of Dynamic Models for Intelligent Control
  • The Most Simple Systolic Architectures for Parallel Probabilistic Searching Algorithms
  • On the Riemannian Interpretation of the Gauss—Newton Algorithm
  • Recursive Least Squares Approximation of Bayesian Non-Gaussian/Non-Linear Estimation
  • Fundamental Properties of Real Computers
  • A Numerical Method for Computing the Approximate Solution of the Infinite-Dimensional Discrete-Time Optimal Linear Filtering Problem
  • Smart Matrices
  • Branch and Bound Algorithm for Global Optimization in Control Theory
  • Mapping LQ Control Design on Fixed-Size Array Processors
  • Personal-Computer-Oriented Systems of Adaptive Identification
  • Predictive Control with Constrained Spline Input Signal
  • Expert System-Driven Controllers
  • Identification of Data-Compatible Models for Control Applications
  • MIMO — A Set of SISO? Multivariate System Adaptively Controlled as a Set of Single-Input Single-Output Models
  • Extensions of Standard CADCS Environment for Parallel Computation and Real Time Control
  • On the Ordering of Characteristic Input-Output Modes in MIMO Discrete-Time Systems
  • Regularised Lattice-Ladder Adaptive Filter
  • Neural Network Applications — Case Studies
  • A Virtual Software Environment for Artificial Neural Networks on General Purpose Parallel Architectures
  • Shape Discrimination and Classification in Robotic Vision Using Scaled Normalized Central Moments
  • Autotuned Predictive Control
  • Multivariable Constrained Adaptive Predictive Control Based on Pole Placement Design
  • The Epsilon - Ritz Method for Solving Optimal Control Problemson Parallel Computers
  • Robust PID Control
  • Advanced Algorithms Contra Lack of Computing Power