Course Websites
GE 525 - Control of Complex Systems
Last offered Spring 2016
Official Description
Control methodologies for complex (i.e., interconnected) dynamic systems. A unified framework based on the vector Liapunov functions concept is used to examine various methodologies: decentralized overlapping control; optimal control of interconnected systems; multi-player differential game theory; decentralized optimization and its link with the multi-criteria optimization. Illustrative examples in areas such as control of groups of unmanned vehicles, control of power systems, and coverage control. Course Information: Prerequisite: GE 424.
Documents
Course Description
In this course a parallel presentation of stability results using Lyapunov function approach and optimal control using Hamilton-Jacobi partial differential equations is provided. The same idea is generalized for to the vector Lyapunov function stability and decentralized control for multi-agent systems and their connection to multi-player dynamic games. It is also shown how these problems are related to multi-objective control of multi-agent systems and decision analysis. Applications of these techniques in controlling multi-vehicle systems, power systems, and environmental systems, as well as in economics. Prerequisite: GE 424.
Title | Section | CRN | Type | Hours | Times | Days | Location | Instructor |
---|---|---|---|---|---|---|---|---|
Control of Complex Systems | A | 50871 | LCD | 4 | 0800 - 1050 | T | 106B3 Engineering Hall |