Warren Dixon - CCTA 2021 Workshop on The Confluence of Vision and Control
Channel: Kaveh Fathian
Date: 2021-08-22

Title: Intermittent Image based feedback

Description: Image feedback can be used to estimate Euclidean distances between features in an image and/or relative motion between an image feature and the camera. Typical current methods assume that the image feature is continuously observed; yet, in most practical scenarios, the image feature can be occluded. Image occlusion/intermittency segregates the image dynamics into two subsystems: when the feature is visible, feedback is available and the estimator/observer is stabilizable, otherwise its unstable. This talk discusses the use of switched/hybrid systems methods including the development of sufficient dwell-time conditions to ensure the stability of such estimators/observers.

Biosketch: Prof. Warren Dixon received his Ph.D. in 2000 from the Department of Electrical and Computer Engineering from Clemson University. He worked as a research staff member and Eugene P. Wigner Fellow at Oak Ridge National Laboratory (ORNL) until 2004, when he joined the University of Florida in the Mechanical and Aerospace Engineering Department. His main research interest has been the development and application of Lyapunov-based control techniques for uncertain nonlinear systems. He is an ASME Fellow and IEEE Fellow, and formerly an IEEE Control Systems Society (CSS) Distinguished Lecturer.