431-416 Advanced Digital Control and Identification

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Credit Points

Prerequisites

431-314 Computer Control

Semester

Contact

Subject Description

On completion of this subject students should; understand the fundamental theory of modern control systems and system identification; have an understanding of the digital implementation of control and identification algorithms; be able to analyse properties of digital control and identification algorithms and to properly design these algorithms to achieve specified system performance.

Topics covered include; Introduction to digital control, filtering, and system identification. Optimal control: Linear quadratic optimal control, finite time and infinite time problems, principle of optimality and dynamic programming, discrete Riccati equation and solution, prediction and filtering theory, the Kalman filter. System identification: Models for identification, principle of Least Squares, recursive Least Squares algorithm, convergence properties. Adaptive control: Basic concept, adaptive controllers, stability and convergence properties.

Assessment

One written examination not exceeding three-hours; practice classes, tests, assignments and project reports, not exceeding 20 pages