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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.

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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.

TitleSectionCRNTypeHoursTimesDaysLocationInstructor
Control of Complex SystemsA50871LCD40800 - 1050 T  106B3 Engineering Hall