Advanced methods in adaptive control for industrial applications
محفوظ في:
| مؤلفون آخرون: | , , |
|---|---|
| التنسيق: | Livre numérique |
| اللغة: | Anglais |
| منشور في: |
Berlin ; Paris [etc.] :
Springer-Verlag : Springer e-books
[20..].
Cham : Springer Nature |
| سلاسل: | Lecture notes in control and information sciences
158 |
| الموضوعات: | |
| الوصول للمادة أونلاين: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| ملاحظة: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Advanced methods in adaptive control for industrial application, K. Warwick, M. Kárný, A. Halousková, eds, 1991, Berlin, Springer-Verlag, 1 vol. (X-331 p.), Lecture notes in control and information sciences, 0-387-53835-6 • Advanced Methods in Adaptive Control for Industrial Applications, Texte imprimé, 9783662178621 |
جدول المحتويات:
- 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.