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...
Other Authors: | , |
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Format: | eBook |
Language: | English |
Published: |
New York, NY
Springer US
1993, 1993
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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