Advanced Methods in Adaptive Control for Industrial Applications
| Other Authors: | , , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg
1991, 1991
|
| Edition: | 1st ed. 1991 |
| Series: | Lecture Notes in Control and Information Sciences
|
| Subjects: | |
| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- Adaptation of LQG control design to engineering needs
- Adaptation and robustness
- Digital controllers for ŠKODA rolling mills
- An expert system as a controller and its closed loop behaviour
- H? robust generalized minimum variance self-tuning controller
- Gnostical approach to robust control
- True digital control: A unified design procedure for linear sampled data control systems
- Polynomial LQ synthesis for self-tuning control
- Numerical analysis of diophantine equations
- Simple predictive LQ controller design
- Toward higher software effectiveness in the field of adaptive control
- Novel control architectures
- Process estimation: Linear adaptive algorithms and neural networks
- Towards more credible self-tuners ...
- Theory and implementation of paper cross profile adaptive control
- Case studies in application of stochastic control theory
- Design of a multivariable self-tuning controller for a class of distributed parameter systems
- Intelligent parallel control
- Signal-based algorithms for self-tuning regulators easily implementable on single-board microcomputers
- Self-tuning control of robot manipulators
- Preliminary tuning of selftuners
- Adaptive control algorithm for time-variant processes
- Algorithms for conversion between the continuous-time models of linear systems and the discrete-time ones