Control Systems & Applications

At the end of this course, the students should be able to: 1. design linear and non-linear filters and regulators 2. optimize autonomous systems, and 3. decide on optimal solution techniques

Introduction to optimum systems control problems in engineering. Calculus of extrema and single-stage decision processes. State estimation techniques and design of linear filters. Vibrational calculus and continuous optimal control. Design of Linear Quadratic Regulators; the minimum time, minimum fuel, and minimum energy control policies. The maximum principle and Hamilton Jacobi theory. Applied optimum systems control examples.