PPT-Stochastic optimal design for unknown networked control system over unreliable communication

OBJECTIVES Investigate the effects of unreliable communication network eg TCP on the stability of the NCS with unknown dynamics Develop an adaptive observer AO to estimate networked control system NCS states . N is the process noise or disturbance at time are IID with 0 is independent of with 0 Linear Quadratic Stochastic Control 52 brPage 3br Control policies statefeedback control 0 N called the control policy at time roughly speaking we choo N with state input and process noise linear noise corrupted observations Cx t 0 N is output is measurement noise 8764N 0 X 8764N 0 W 8764N 0 V all independent Linear Quadratic Stochastic Control with Partial State Obser vation 102 br Bi kh Bh tt ac arya Professor Department of Mechanical Engineering IIT Kanpur Joint Initiative of IITs and IISc Funded by MHRD brPage 2br NPTEL Mechanical Engineering Modeling and Control of Dynamic electroMechanical System Module 4 Lecture 33 Jo High Altitude Balloon. Team HAB-. Comm. :. Ryan . Overman. Brian Thomas. Thomas Rawls Trenton Katter. Agenda. Introduction . Thomas Rawls. Background. Trenton Katter. Challenges and Proposed Solutions. . Scholarly Communication:. The Move . From Journal to Article. Barry Wellman, . FRSC. Jenna Jacobson. iSchool, University of Toronto. For Taylor & Francis Publishers’ Conference, March 2014, Toronto. Contribution. Simulation and Results. Future Work. A bio-inspired. , leaderless, decentralized boundary coverage and cooperative manipulation control . scheme is developed . for a robotic swarm. . . Xiaoxia. Zhang. x79zhang@bbcr.uwaterloo.ca. [1] . M. . Shahraeini. , M.S. . Ghazizadeh. , and M.H. . Javidi. . Co-optimal placement of . measurement . devices and their related communication infrastructure in wide area . Hao. . Zheng. Comp . Sci. & . Eng. U of South Florida . 1. System Structural Model. 2. Bridge. HW. P5. HW. P3. P4. P1. P2. CPU. Mem. Arbiter. Basic Elements of . HW/SW . Interfaces. 3. Synchronization Schemes. 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. What are “Stochastic, Robust, and Adaptive” Controllers?. Stochastic Optimal. Control. Deterministic . versus. Stochastic . Optimization. Linear-Quadratic Gaussian (LQG). Optimal Control Law. Linear-Quadratic-Gaussian Control of a Dynamic Process. Contribution. Simulation and Results. Future Work. A bio-inspired. , leaderless, decentralized boundary coverage and cooperative manipulation control . scheme is developed . for a robotic swarm. . . . storage. . with. . stochastic. . consumption. and production. Erwan Pierre – EDF R&D. SESO 2018 International Thematic . Week. - . Smart Energy and Stochastic Optimization . High . penetration. The Benefits of Reading Books IWLS – 22. nd. August, Paris. Andrea Visentin, Steven Prestwich, Roberto Rossi, Armagan Tarim. Roadmap. Introduction. Baseline. Method. Memoization. . Branch and bound. Experimental results. Conclusion.