ECE 586

Fall 2018 All Classes

All Classes

Topics in Decision and Control

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Credit: 4 hours.

Lectures and discussions related to advanced topics and new areas of interest in decision and control theory: hybrid, sampled-data, and fault tolerant systems; control over networks; vision-based control; system estimation and identification; dynamic games.

May be repeated up to 12 hours within a term, and up to 20 hours total for the course. Credit towards a degree from multiple offerings of this course is not given if those offerings have significant overlap, as determined by the ECE department. Prerequisite: As specified each term. It is expected that each offering will have a 500-level course as prerequisite or co-requisite.

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ECE 586 class schedule data for fall 2018
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	44092	Lecture	DL	2:00PM -3:20PM	TR	4070 Electrical & Computer Eng Bldg	Liberzon, D	Part of Term: 1 Date Range: 08/27/18-12/12/18 Section Title: Hybrid Systems and Control Section Info: Switched/hybrid systems are dynamical systems that combine continuous dynamics and discrete events. Such systems are of theoretical interest and important in many applications, and they have attracted considerable attention in the recent control literature. This advanced graduate-level course will introduce the students to recent research results on analysis and design of switched and hybrid systems. Prerequisite: ECE 515. Restriction(s): Restricted to Graduate - Urbana-Champaign.
	68114	Lecture	GT	9:30AM -10:50AM	TR	3015 Electrical & Computer Eng Bldg	Hajek, B	Part of Term: 1 Date Range: 08/27/18-12/12/18 Credit: 4 hours Section Title: Game Theory Section Info: Prerequisites: ECE 490 or ECE 515 or ECE 534 Game theory is the theory of decision problems with multiple decision makers, often with conflicting objectives. The theory seeks to describe the actions of decision makers in various settings, and, in some cases, to aid in the design of incentives to steer the collective actions towards specified objectives. The course focuses on fundamental theory, with applications to a broad range of problems arising in networks, such as resource allocation, incentives for investment, and pricing. Restriction(s): Restricted to Graduate - Urbana-Champaign.