This chapter presents more advanced control techniques that will be used in the following. In particular, it presents the main results on Model Predictive Control (MPC). The main concepts related to model identification and adaptive control are presented respectively. The purpose of this paper is to introduce the reader to the basic concepts and terminology related to those control techniques.

Chapter Contents:

• 7.1 Model Predictive Control
• 7.1.1 Predictive control
• 7.1.2 Review on predictive control techniques
• 7.1.3 State-space models
• 7.1.4 Predictive control within a single optimisation window
• 7.1.4.1 Prediction of state and output variables
• 7.1.4.2 Optimisation
• 7.1.5 Receding-horizon predictive control
• 7.1.5.1 Closed-loop control system
• 7.2 Model identification and adaptive systems
• 7.2.1 Least squares
• 7.2.2 Persistent excitation
• 7.2.3 Recursive least squares
• 7.3 Adaptive control techniques
• 7.3.1 Online identification and adaptive control
• 7.3.2 Adaptive identification
• 7.3.2.1 Adaptive identification algorithms with forgetting factor
• 7.4 Problems

Inspec keywords: predictive control; adaptive control; identification

Other keywords: control technique; MPC; model predictive control; adaptive control; model identification

Subjects: Self-adjusting control systems; Optimal control