The modeling of uncertainty in control systems : proceedings of the 1992 Santa Barbara workshop
This book is a collection of work arising from a NSF/ AFOSR sponsored workshop held at the University of California, Santa Barbara, 18-20th June 1992. Sixty-nine researchers, from nine countries, participated. Twelve keynote essays give an overview of the field and speculate on future directions and...
में बचाया:
| अन्य लेखक: | , |
|---|---|
| स्वरूप: | Livre numérique |
| भाषा: | Anglais |
| प्रकाशित: |
London [etc.] :
Springer-Verlag : Springer e-books
[20..].
Cham : Springer Nature |
| श्रृंखला: | Lecture notes in control and information sciences
192 |
| विषय: | |
| ऑनलाइन पहुंच: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| टिप्पणी: |
Actes d'un séminaire tenu à Santa Barbara du 18 au 20 juin 1992, d'après la préface Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • The Modeling of uncertainty in control systems, proceedings of the 1992 Santa Barbara workshop, Roy S. Smith and Mohammed Dahleh (eds.), London, Springer-Verlag, 1994, xv, 391 p., Lecture notes in control and information sciences, 0-387-19870-9 • The Modeling of Uncertainty in Control Systems, Texte imprimé, 9783662181812 |
विषय - सूची:
- Identification and robust control
- An essay on identification of feedback systems
- Thoughts on identification for control
- An essay on robust control
- On the character of uncertainty for system identification and robust control design
- Extensions of parametric bounding formulation of identification for robust control design
- Connecting identification and robust control
- On nominal models, model uncertainty and iterative methods in identification and control design
- An informal review of model validation
- From data to control
- Is robust control reliable?
- Modeling uncertainty in control systems: A process control perspective
- A note on H ? system identification with probabilistic a priori information
- A worst case identification method using time series data
- Identification in H ? using time-domain measurement data
- Identification of feedback systems from time series
- Input-output extrapolation-minimization theorem and its applications to model validation and robust identification
- Identification of model error bounds in l 1- and H ?-norm
- Asymptotic worst-case identification with bounded noise
- Sequential approximation of uncertainty sets via parallelotopes
- A robust ellipsoidal-bound approach to direct adaptive control
- On line model uncertainty quantification: Hard upper bounds and convergence
- A mixed deterministic-probabilistic approach for quantifying uncertainty in Transfer Function Estimation
- Estimation for robust control
- Non-vanishing model errors
- Accuracy confidence bands including the bias of model under-fitting
- Iterative identification and control design: A worked out example
- Frequency domain identification for robust control design
- Time domain approach to the design of integrated control and diagnosis systems.-Identification of Ill-conditioned plants A benchmark problem
- Control design and implementation based on experimental wind turbine models.