2012 Research Expo PhD Topics Professor Peng Shi.

Slides:



Advertisements
Similar presentations
NONLINEAR HYBRID CONTROL with LIMITED INFORMATION Daniel Liberzon Coordinated Science Laboratory and Dept. of Electrical & Computer Eng., Univ. of Illinois.
Advertisements

Coordination of Multi-Agent Systems Mark W. Spong Donald Biggar Willett Professor Department of Electrical and Computer Engineering and The Coordinated.
TOWARDS a UNIFIED FRAMEWORK for NONLINEAR CONTROL with LIMITED INFORMATION Daniel Liberzon Coordinated Science Laboratory and Dept. of Electrical & Computer.
L OUISIANA T ECH U NIVERSITY Department of Electrical Engineering and Institute for Micromanufacturing INTRODUCTION PROBLEM FORMULATION STATE FEEDBACK.
SAMPLED-DATA FUZZY CONTROLLER FOR TRUCK- TRAILER WITH TIME DELAY Authors:H.K.Lam,Frank.H.F.Leung Authors:H.K.Lam,Frank.H.F.Leung Presented By Presented.
-Anandatirtha. US water companies are under increasing pressure to improve the management of their ageing assets and optimize operational and capital.
Emergent Structure Among Self-Organizing Devices M. Steenstrup Stow Research L.L.C. This work was funded in part by DARPA and ONR.
Towards Energy Efficient and Robust Cyber-Physical Systems Sinem Coleri Ergen Wireless Networks Laboratory, Electrical and Electronics Engineering, Koc.
COMMUNICATION TECHNOLOGY by Shashi Bhushan School of Computer and Information Sciences.
1 Sensor Networks and Networked Societies of Artifacts Jose Rolim University of Geneva.
Fault-Tolerance in the Borealis Distributed Stream Processing System Magdalena Balazinska, Hari Balakrishnan, Samuel Madden, and Michael Stonebraker MIT.
Multi-Sensor Data Fusion H.B. Mitchell UNCLASSIFIED.
CS244-Introduction to Embedded Systems and Ubiquitous Computing Instructor: Eli Bozorgzadeh Computer Science Department UC Irvine Winter 2010.
Distributed Sensing and Data Collection Via Broken Ad Hoc Wireless Connected Networks Mobile Robots By Alan FT Winfield Presented By Navpreet Bawa.
Dimitrios Hatzinakos, Ph.D., P.Eng Professor, ECE Dept., UofT Bell Canada Chair in Multimedia Director, Identity, Privacy and Security Initiative (IPSI)
1 CS 603: Advanced Topics in Distributed Systems Spring 2002 Professor Chris Clifton.
The importance of switching in communication The cost of switching is high Definition: Transfer input sample points to the correct output ports at the.
1 OUTLINE Motivation Distributed Measurements Importance Sampling Results Conclusions.
Electronic and Computer Engineering D Azzi (PL)R Khusainov (SL) D Robinson (RF-HEIF IV)
WATERLOO ELECTRICAL AND COMPUTER ENGINEERING 10s: Communications and Information Systems 1 WATERLOO ELECTRICAL AND COMPUTER ENGINEERING 10s Communications.
OMICS Group Contact us at: OMICS Group International through its Open Access Initiative is committed to make genuine and.
Computer Science CSC 774 Adv. Net. SecurityDr. Peng Ning1 CSC 774 Advanced Network Security Topic 4. Broadcast Authentication.
1 Energy Efficient Communication in Wireless Sensor Networks Yingyue Xu 8/14/2015.
Adapted from: Computer Networking, Kurose/Ross 1DT066 Distributed Information Systems Chapter 6 Wireless, WiFi and mobility.
Chapter 4 Computer Networks – Part 1
REAL-TIME SOFTWARE SYSTEMS DEVELOPMENT Instructor: Dr. Hany H. Ammar Dept. of Computer Science and Electrical Engineering, WVU.
特邀学术报告 报告题目: Intelligent Fault Tolerant Control of Six-Phase Permanent Magnet Synchronous Motor Drive System for Light Electric Vehicle 报 告 人: Prof. Faa-Jeng.
Travel-time Tomography For High Contrast Media based on Sparse Data Yenting Lin Signal and Image Processing Institute Department of Electrical Engineering.
Robot Autonomous Perception Model For Internet-Based Intelligent Robotic System By Sriram Sunnam.
Distributed Computation in MANets Robot swarm developed by James Rice University.
Optimal Power Control, Rate Adaptation and Scheduling for UWB-Based Wireless Networked Control Systems Sinem Coleri Ergen (joint with Yalcin Sadi) Wireless.
CS4730 Real-Time Systems and Modeling Fall 2010 José M. Garrido Department of Computer Science & Information Systems Kennesaw State University.
© Oxford University Press 2011 DISTRIBUTED COMPUTING Sunita Mahajan Sunita Mahajan, Principal, Institute of Computer Science, MET League of Colleges, Mumbai.
Communication Networks (Kommunikationsnetværk) Specialisations: Distributed Application Engineering Network Planning & Management Ole Brun Madsen Professor.
Communication and Signal Processing. Dr. Y.C. Jenq 2. Digital Signal Processing Y. C. Jenq, "A New Implementation Algorithm.
Location Estimation in Ad-Hoc Networks with Directional Antennas N. Malhotra M. Krasniewski C. Yang S. Bagchi W. Chappell 5th IEEE International Conference.
Distributed Systems and Algorithms Sukumar Ghosh University of Iowa Spring 2011.
Collaborative Communications in Wireless Networks Without Perfect Synchronization Xiaohua(Edward) Li Assistant Professor Department of Electrical and Computer.
Modeling and Complexity Reduction for Interconnected Systems Carolyn Beck University of Illinois at Urbana-Champaign August 2, 2001.
A Brief Review of Theory for Information Fusion in Sensor Networks Xiaoling Wang February 19, 2004.
October 7, 1999Reactive Sensor Network1 Workshop - RSN Update Richard R. Brooks Head Distributed Intelligent Systems Dept. Applied Research Laboratory.
REAL-TIME SOFTWARE SYSTEMS DEVELOPMENT Instructor: Dr. Hany H. Ammar Dept. of Computer Science and Electrical Engineering, WVU.
Introduction to Networked Robotics CS 643 Seminar on Advanced Robotics Wenzhe Li, Graduate Student Texas A&M University.
Wireless communications and mobile computing conference, p.p , July 2011.
1 Structure of Aalborg University Welcome to Aalborg University.
3.2 Software Fundamentals. A protocol is a formal description of digital message formats and the rules for exchanging those messages in or between computing.
Efficient Distribution of Key Chain Commitments for Broadcast Authentication in Distributed Sensor Networks Donggang Liu and Peng Ning Department of Computer.
TECHNOLOGY GUIDE FOUR Basics of Telecommunications and Networks.
CS4730 Real-Time Systems and Modeling Fall 2010 José M. Garrido Department of Computer Science & Information Systems Kennesaw State University.
Contents  Teleoperated robotic systems  The effect of the communication delay on teleoperation  Data transfer rate control for teleoperation systems.
Submission doc.: IEEE /1365r0 Use Cases of LRLP Operation for IoT November 2015 Chittabrata Ghosh, IntelSlide 1 Date: Authors:
Transversal Issues in Real-Time Sense-and-Respond Systems Ahmad T. Al-Hammouri Vincenzo Liberatore Huthaifa A. Al-Omari Case Western Reserve University.
Fault-Tolerant Control. Fault Tolerance Passive Passive  Tolerance achieved by the use of feedback control laws that are robust to possible system faults.
Time-Dependent Dynamics in Networked Sensing and Control Justin R. Hartman Michael S. Branicky Vincenzo Liberatore.
Self-stabilizing energy-efficient multicast for MANETs.
NONLINEAR CONTROL with LIMITED INFORMATION Daniel Liberzon Coordinated Science Laboratory and Dept. of Electrical & Computer Eng., Univ. of Illinois at.
Postacademic Interuniversity Course in Information Technology – Module C1p1 Chapter 5 Multiplexing.
1 May-2014 Automotive Protocols & Standards. 2 CAN (Controller Area Network)  Overview Controller Area Network is a fast serial bus designed to provide.
Challenges of Mobile ad-hoc Grids and their Applications in e-Healthcare Zhuoqun Li, Lingfen Sun and Emmanuel C. Ifeachor School of Computing, Communications.
Time Synchronization in Ad Hoc Networks Kay R¨omer MobiHOC 2001 Speaker : hsiwei.
Cognitive Radio Wireless Sensor Networks: Applications, Challenges and Research Trends Prepared by: Ameer Sameer Hamood University of Babylon - Iraq Information.
Review of Useful Definitions Statistical multiplexing is a method of sharing a link among transmissions. When computers use store-and-forward packet switching,
Wireless Sensor Network: A Promising Approach for Distributed Sensing Tasks.
Mohsen Riahi Manesh and Dr. Naima Kaabouch
International Journal of Sensor Networks and Data Communications
SENSOR FUSION LAB RESEARCH ACTIVITIES PART I : DATA FUSION AND DISTRIBUTED SIGNAL PROCESSING IN SENSOR NETWORKS Sensor Fusion Lab, Department of Electrical.
Diagnosis and Management of Faults in Distributed Chemical Processes P
Towards Next Generation Panel at SAINT 2002
Distributed Sensing, Control, and Uncertainty
Jiangbin Zheng’s Brief Biography
Presentation transcript:

2012 Research Expo PhD Topics Professor Peng Shi

Networked Control Systems A networked control system – controllers, sensors and actuators are spatially distributed and connected via a certain digital communication network. – Examples: data communication, remote medical diagnosis and surgery, security systems, waste water treatment process, and internet-based tele-operation. Problems include: induced time delays, packet losses and disorder, time-varying transmission intervals, competition of multiple nodes accessing networks, data quantization, clock synchronization among local and remote nodes, and network security and safety. This project will systematically study the problems of stability and performance analysis; networked control and estimation; network-based fault detection and tolerance; networked identification.

Network-based Fault Reconstruction and Fault-Tolerant Control Design Fault reconstruction is one of the most important research problems in system control and fault detection. Fault reconstruction estimates the fault directly, and improves the detecting ability for slow-varying or initial faults. The aims – to model and clarify non-uniform sampling, communication delay, packet loss and signal quantization; – To develop new analysis and design methods for network- based fault reconstruction and fault-tolerant control systems based on existing techniques, such as, sample-data control, impulsive control, stochastic control and variable structure control.

Stability Analysis and Control of Fuzzy Control Systems Many practical systems can be described by fuzzy models Examples: mobile robot navigation in dynamic unstructured indoor and outdoor environments, socio-economic. This project is on stability analysis and control design on nonlinear systems by fuzzy modelling techniques. New methodologies will be developed to cope with parametric uncertainties, time-delays, deterministic and random switching.

Professor Peng Shi Dr Shi’s research interests include system and control theory, computational and intelligent systems, and operational research. He has published widely. His publications include five monographs and over 400 journal papers. His work has received well over 4000 citations, and his H-index is 40. Current contact: