Model Predictive Control: Classical, Robust and Stochastic - download pdf or read online

For the 1st time, a textbook that brings jointly classical predictive regulate with therapy of updated strong and stochastic techniques.

Model Predictive keep watch over describes the improvement of tractable algorithms for doubtful, stochastic, restricted platforms. the start line is classical predictive keep an eye on and the suitable formula of functionality ambitions and constraints to supply promises of closed-loop balance and function. relocating directly to strong predictive regulate, the textual content explains how comparable promises can be acquired for situations during which the version describing the procedure dynamics is topic to additive disturbances and parametric uncertainties. Open- and closed-loop optimization are thought of and the cutting-edge in computationally tractable tools in line with uncertainty tubes offered for platforms with additive version uncertainty. ultimately, the tube framework is usually utilized to version predictive regulate difficulties regarding difficult or probabilistic constraints for the situations of multiplicative and stochastic version uncertainty. The publication provides:

• extensive use of illustrative examples;
• sample difficulties; and
• discussion of novel regulate functions resembling source allocation for sustainable improvement and turbine-blade keep an eye on for maximized energy trap with at the same time diminished danger of turbulence-induced damage.

Graduate scholars pursuing classes in version predictive regulate or extra mostly in complex or procedure regulate and senior undergraduates short of a really good remedy will locate Model Predictive keep an eye on an worthy advisor to the state-of-the-art during this vital topic. For the trainer it presents an authoritative source for the development of courses.