PPT-Optimal control with singular dynamics:

Application to controlling chemical bondbreaking Reuven Eitan and David J Tannor Batsheva de Rothschild Seminar Tsfat September 2012 Optimal control with singular dynamics Application to controlling chemical bondbreaking. Benjamin Stephens. Robotics Institute. Compliant Balance and Push Recovery. Full body compliant control. Robustness to large disturbances. Perform useful tasks in human environments. Motivation. Improve the performance and usefulness of complex robots, simplifying controller design by focusing on simpler models that capture important features of the desired behavior. Benjamin Stephens. Thesis Proposal. Carnegie Mellon, Robotics Institute. November 23, 2009. Committee:. Chris . Atkeson. (chair). Jessica. . Hodgins. Hartmut. Geyer. Jerry Pratt (IHMC). 2. Thesis Proposal Overview. of double integrating processes. Chriss Grimholt* and Sigurd Skogestad. *Present . affiliation. : ABB, . Olso. Double integrators: . Outline. They. . are. . common. They. . are. . difficult. to . control and pricing. Desmond . Cai. Caltech (CS). . John Ledyard Caltech (. Ec. ). . Steven Low Caltech (CS and EE). With a lot of help from others at . Caltech . and Southern California Edison. Soaring Maneuvers for a Morphing . Capable . UAV. 1. Presentation for . Dr. . Haitham. . Taha. & . Colligues. Aug-2017. Presentation Outline. 2. Introduction. UAS. Problem of energy . d. eficiency in . Benjamin Stephens. Robotics Institute. Compliant Balance and Push Recovery. Full body compliant control. Robustness to large disturbances. Perform useful tasks in human environments. Motivation. Improve the performance and usefulness of complex robots, simplifying controller design by focusing on simpler models that capture important features of the desired behavior. Spring 2012. Optimal Control. Static optimization (finite dimensions). Calculus of variations (infinite dimensions). Maximum principle (. Pontryagin. ) / minimum principle. Based on state space models. Dr. Imtiaz Hussain. email: . imtiaz.hussain@faculty.muet.edu.pk. URL :. http://imtiazhussainkalwar.weebly.com/. Lecture-41-42. Design of Control Systems in Sate Space. Quadratic Optimal Control. Outline. 442. Fall 2015. Kris Hauser. Toy Nonlinear Systems. Cart-pole. Acrobot. Mountain car. Optimal Control. So far in our discussion, we have not explicitly defined the criterion for determining a “good” control. Sina Dehghan. , PhD student in ME. MESA. (Mechatronics, Embedded Systems and Automation) . LAB. University of California, Merced. E: sdehghan@ucmerced.edu . Under supervision of:. YangQuan Chen . . OBJECTIVES. Investigate the effects of unreliable communication network (e.g. TCP) on the stability of the NCS with unknown dynamics. Develop an adaptive observer (AO) to estimate networked control system (NCS) states; . CS 659. Kris Hauser. Control Theory. The use of . feedback. to regulate a signal. Controller. Plant. Desired signal x. d. Signal x. Control input u. Error e = x-x. d. (By convention, x. d. = 0). x’ = f(x,u). Optimal Control of Flow and Sediment in River and Watershed National Center for Computational Hydroscience and Engineering (NCCHE) The University of Mississippi Presented in 35th IAHR World Congress, September 8-13,2013, Chengdu, Motivation and IntroductionHow to employ data for optimal control? Plant DisturbanceInputController CostsConstraints State •Model-Free RL simultaneously parameterize -Poor data efficiency-Dynamic