"Advanced Control of Industrial Processes" presents the concepts and algorithms of advanced industrial process control and on-line optimisation within the framework of a multilayer structure. Relatively simple unconstrained nonlinear fuzzy control algorithms and linear predictive control laws are covered, as are more involved constrained and nonlinear model predictive control (MPC) algorithms and on-line set-point optimisation techniques. Major topics and key features include: Derivation of practical MPC algorithms with linear process models; Development of computationally effective MPC structures for nonlinear process models, utilising on-line model linearisations and fuzzy reasoning; General presentation of the subject of on-line set-point improvement and optimisation; Complete theoretical stability analysis of fuzzy Takagi-Sugeno control systems; Illustration of the methodologies and algorithms by worked examples in the text and by results of simulations based on industrial process models.
| Autorius: | Piotr Tatjewski |
| Serija: | Advances in Industrial Control |
| Leidėjas: | Springer London |
| Išleidimo metai: | 2006 |
| Knygos puslapių skaičius: | 356 |
| ISBN-10: | 1846286344 |
| ISBN-13: | 9781846286346 |
| Formatas: | Knyga kietu viršeliu |
| Kalba: | Anglų |
| Žanras: | Automatic control engineering |
Parašykite atsiliepimą apie „Advanced Control of Industrial Processes: Structures and Algorithms“
