Estudia

1. INTRODUCTION

          1.1. Dynamics of complex systems

          1.2. Advanced control techniques vs traditional control techniques

2. CHARACTERIZATION OF SYSTEM DYNAMICS

          2.1. Mathematical modeling of uncertainties, nonlinearities, disturbances, dynamic couplings, etc.

          2.2. Parametric identification

          2.3. State estimation using observer and Kalman filter

3. ANALYSIS OF SYSTEM PERFORMANCE

          3.1. Error

          3.2. Stability

          3.3. Controllability and observability

          3.4. Robustness

          3.5. Other specifications

4. MODEL-BASED ADVANCED CONTROL TECHNIQUES

          4.1. Optimal control

          4.2. Robust control

          4.3. Predictive control

          4.4. Lyapunov theory based control

          4.5. Other advanced control techniques

5. APPLICATION CASE STUDIES

• Aström, Karl J. (1995). Modern control systems. Institute of Electrical and Electronics Engineers.
• Ljung, Lennart (1999). System identification : theory for the user. PrenticeHall.
• Harvey, Andrew C (1990). Forecasting, structural time series models and the Kalman filter. Cambridge University Press.
• Lewis, Frank L. (1992). Applied optimal control & estimation : digital design & implementation. Prentice Hall.
• Zhou, Kemin, Doyle, John C. (1998). Essentials of robust control. Prentice Hall International.
• Fernández Camacho, Eduardo, Bordons Alba, Carlos (2004). Model predictive control. Springer.

Activitats d'avaluació:

Final qualification = continuous evaluation (30%) + final work presentation (70%)