45 resources related to System identification
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2014 American Control Conference - ACC 2014
All areas of the theory and practice of automatic control, including but not limited to network control systems, model predictive control, systems analysis in biology and medicine, hybrid and switched systems, aerospace systems, power and energy systems and control of nano- and micro-systems.
2014 IEEE Power & Energy Society General Meeting
The annual IEEE PES General Meeting will bring together over 2500 attendees for technical sessions, administrative sessions, super sessions, poster sessions, student programs, awards ceremonies, committee meetings, tutotials and more
2013 13th International Conference on Control, Automaton and Systems (ICCAS)
Control Theory and Application, Intelligent Systems, Industrial Applications of Control, Sensor and Signal Processing, Control Devices and Instruments, Robot Control, Robot Vision, Human-Robot Interaction, Robotic Applications, Unmanned Vehicle Systems...
SYSID aims at promoting research and development activities in the area of system identification, experimental modeling, signal processing and adaptive control. The scope of the symposium covers all aspects of these areas, ranging from theoretical investigations to a large variety of applications.
Static and dynamic systems modeling, control and optimization techniques, and nonlinear & linear system identification.
Measurements and instrumentation utilizing electrical and electronic techniques.
Research, development, design, application, construction, the installation and operation of apparatus, equipment, structures, materials, and systems for the safe, reliable, and economic delivery and control of electric energy for general industrial, commercial, public, and domestic consumption.
Requirements, planning, analysis, reliability, operation, and economics of electrical generating, transmission, and distribution systems for industrial, commercial, public, and domestic consumption.
The technology of transmission, recording, reproduction, processing, and measurement of speech; other audio-frequency waves and other signals by digital, electronic, electrical, acoustic, mechanical, and optical means; the components and systems to accomplish these and related aims; and the environmental, psychological, and physiological factors of thesetechnologies.
Staroszczyk, Z.T. Harmonics and Quality of Power, 2002. 10th International Conference on, 2002
Power system nonstationarity is the main source of errors in the system analysis and description with the use of DSP. Accurate and advanced DSP has to be used for power system identification. It is based on high resolution DFT, well known from its ideal accuracy for coherently sampled signals. As the power system is nonstationary such conditions are violated. In ...
Li Fu; Pengfei Li Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2013 5th International Conference on, 2013
At present, as a method of establishing mathematical model of the system, the system identification has been widely applied to the automatic control, aviation, space flight, astronomy, medicine, biology, marine ecology and society, economics and many other fields. With the rapid development of science and technology, the status of system identification technique in various disciplines is becoming increasingly important. This ...
Staroszczyk, Z. Instrumentation and Measurement, IEEE Transactions on, 2005
In this paper, the principal problems of distribution system identification and accurate measurements of distribution system impedance frequency contour are discussed. Some new results of field identification are presented. The focus of this paper is on the effective method of signal processing adapted to real signals which appear in the power systems. The principal problem of accurate identification is in ...
Dong-Chul Kwon; Yun-Hyun Cho; In-Beom Yang; Jong-Bok Lee; Dong-Hee Lee; Sung-Man Park; Kyo-Soon Chae; Hoon Heo Control, Automation and Systems, 2007. ICCAS '07. International Conference on, 2007
Study on the reduction of inherent noise in magnetic field has been conducted. Distributed model such as magnetic field is well known for its inadequacy to control in conventional ways. 'Stochastic system identification method' from moment equations via Fokker-Plank-Kolmogorov equation has been developed in inverse manner to figure out unknown system parameters of discrete system under random disturbances. The newly ...
Noshadi, A.; Shi, J.; Lee, W.S.; Shi, P.; Kalam, A. Control & Automation (ICCA), 11th IEEE International Conference on, 2014
The main focus of this paper is on system identification of an active magnetic bearing system (AMB) using genetic algorithm (GA) for optimal controller design purpose. In the first step, an analytical model of the system is derived using principle of physics and taking into account both the rigid body and bending body modes of the system. In the next ...
Pedrycz, Witold Methods & Models of Collaborative Computational Intelligence, 2009
There are rapidly emerging needs to deal with distributed sources of data (sensors and sensor networks, web sites, databases). While recognizing their limited accessibility at a global level (associated with technical constraints and/or privacy issues) and fully acknowledging benefits of collaborative processing, we propose a concept of Collaborative Computational Intelligence (CI), and collaborative fuzzy models, in particular. The variety of ...
Laplante, Phillip Cloud Computing Part 3, 2012
This tutorial is the third in a series of three tutorials covering introductory, intermediate and advanced topics in cloud computing. This course provides an advanced treatment of the subject, focusing on the economics of cloud computing, or more precisely, helping organizations make a decision about whether to adopt cloud computing in one or more of its forms. The decision making ...
Johnson, Larry Troubleshooting a Fiber Optic Link - Testing and Troubleshooting Links, 2009
In this tutorial we begin with a look at the installer.s role--which is to verify that both components and the span meet specifications. Next, we focus on the identification and isolation of a variety of problems that a technician will encounter. This is followed by a review of how the OTDR and OLTS can be used to recognize fibers that ...
Shur, Michael Terahertz Sensing Technology, 2006
Terahertz sensing technology has a promise of many breakthrough and enabling applications including detection of biological and chemical hazardous agents, cancer detection, detection of mines and explosives, enhancement of people, building, and airport security, covert communications (in THz and sub-THz windows), and applications in radioastronomy and space research. This tutorial will review the famous THz gap and the-state-of-the-art of existing ...
GEOSS for BIODIVERSITY -A demonstration of the GEOSS Common Infrastructure capabilities
Flood or Hurricane Protection?: The New Orleans Levee System and Hurricane Katrina
IMS 2012 Microapps - Virtual Flight Testing of Radar System Performance Daren McClearnon, Agilent EEsof
"ITRS 2.0 and Its System Drivers: Focus on Systems Trends and 'MTM' (Rebooting Computing)
IMS 2012 Microapps - System Simulation Featuring Signal Processing Blocks
IMPASS: Intelligent Mobility Platform with Active Spoke System
IMS 2012 Microapps - RF System Design: Moving Beyond a Linear Datasheet
The DLR MiroSurge, a Robotic System for Surgery
Micro-Apps 2013: Class F Power Amplifier Design, Including System-to-Circuit-to-EM Simulation
Tapping the Computing Power of the Unconscious Brain
IMS 2011 Microapps - Remcom's XFdtd and Wireless InSite: Advanced Tools for Advanced Communication Systems Analysis
CES 2008: The first Works with iPhone Speaker and Dock
Roy Schoenberg AMA EMBS Individualized Healthcare
Localization Services for Online Common Operational Picture and Situation Awareness
Skillful Manipulation Based on High-Speed Sensory-Motor Fusion
CES 2008: Whirlpool Lets You Geek Out Your Refrigerator
Rollin' Justin -- Mobile Platform with Variable Base
Beyond Classica: Assistance, Cooperation, Data Reduction, and Spatial Audio
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Assistant/Associate/Full Professor - Machine Learning University of British Columbia