ME 8240 - Adv Estimation and Filtering

Institution:

Clemson University

Subject:

Mechanical Engineering

Description:

This course introduces students to engineering applications of parameter and state estimation. After a brief overview of basic concepts in probability, parameter estimation methods using Maximum Likelihood and Bayesian approaches are presented, followed by Random Processes, Least Square estimation, and Kalman Filtering for Linear Time-Invariant Systems. Applications in localization of robots, state estimation for vehicular systems, and Linear Quadratic Gaussian (LQG) control and adaptive control are discussed.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.clemson.edu

Phone Number:

(864) 656-4636

Regional Accreditation:

Southern Association of Colleges and Schools

Calendar System:

Semester

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