11,994 resources related to Predictive Control
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2016 IEEE 55th IEEE Conference on Decision and Control (CDC)
The CDC is recognized as the premier scientific and engineering conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.
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.
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, RobotVision, Human-Robot Interaction, Robotic Applications, Unmanned Vehicle Systems...
MED aims at providing a unique opportunity for the academic and industrial community, federal and state government, funding agencies, the private sector, qualified representatives from other organizations, to address new challenges, share solutions and discuss future research directions in the area of control and automation. Focused interests of diverse groups involved in basic and applied research and development will be discussed. A broad range of topics will be covered in the Conference, following current trends of combining control/systems theory with software/communication technologies, as well as new developments in robotics and mechatronics, with the goal of strengthening cooperation of control and automation scientists with industry
2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)
This conference provides an idea-exchange and discussion platform for researchers and practitioners interested in Intelligent Human-Machine and Cybernetics and other topics.
The magazine covers theory, analysis, design (computer-aided design), and practical implementation of circuits, and the application of circuit theoretic techniques to systems and to signal processing. Content is written for the spectrum of activities from basic scientific theory to industrial applications.
Serves as a compendium for papers on the technological advances in control engineering and as an archival publication which will bridge the gap between theory and practice. Papers will highlight the latest knowledge, exploratory developments, and practical applications in all aspects of the technology needed to implement control systems from analysis and design through simulation and hardware.
Theory and applications of industrial electronics and control instrumentation science and engineering, including microprocessor control systems, high-power controls, process control, programmable controllers, numerical and program control systems, flow meters, and identification systems.
Synergetic integration of mechanical engineering with electronic and intelligent computer control in the design and manufacture of industrial products and processes. (4) (IEEE Guide for Authors) A primary purpose is to have an aarchival publication which will encompass both theory and practice. Papers will be published which disclose significant new knowledge needed to implement intelligent mechatronics systems, from analysis and ...
IEEE Transactions on Vehicular Technology was one of the most-cited journals, ranking number-six (tying with IEEE Communications Letters) in telecommunications in 2002, according to the annual Journal Citation Report (2002 edition) published by the Institute for Scientific Information. This periodical covers land, airborne, and maritime mobile services; portable or hand-carried and citizens' communications services, when used as an adjunct to ...
Zhang Ju; Wan Senlin Control Conference (CCC), 2012 31st Chinese, 2012
Model predictive control theory has developed for many years, including model predictive control, explicit model predictive control, and approximate explicit model predictive control. This paper summarized this theory. In section 1, we reviewed the basic details and characteristics of model predictive control, the common mathematical expression and its primary shortcomings. In section 2, we introduced some main situations of explicit ...
Khalid, M.U.; Kadri, M.B. Emerging Technologies (ICET), 2012 International Conference on, 2012
This paper investigates the usage of Discrete-time Linear Model Predictive Control in controlling a nonlinear Coupled Tanks System. Two different schemes of Model Predictive control are employed. To begin with, a basic Model Predictive Control based on Generalized Predictive Control is used and then a Model Predictive Control approach based on Laguerre functions. Simulation results have been included which demonstrate ...
Cortes, F.; Linares, D.; Patino, D.; Melo, K. Robotics Symposium, 2011 IEEE IX Latin American and IEEE Colombian Conference on Automatic Control and Industry Applications (LARC), 2011
This paper shows the design of a distributed predictive control, applied to a robotic chain of six modules. The dynamic model is obtained for a single module which is validated through the SimMechanics blockset of MATLAB. With the obtained model, a controller is designed using different predictive control strategies to choose the one that shows a better performance in terms ...
Dong, J.; Kulcsar, B.; van Wingerden, J.W.; Verhaegen, M. Control Conference (ECC), 2009 European, 2009
The paper presents a new data driven predictive control approach for a special set of nonlinear systems. A Linear Parameter Varying (LPV) subspace based identification technique is combined with predictive control approach without computing the parameter dependent state space matrices. Therefore, the Subspace based Predictive Control for LPV systems (SPC LPV) is a candidate for joint nonlinear identification and predictive ...
Yonghua Zhou Intelligent Systems, 2009. GCIS '09. WRI Global Congress on, 2009
The vehicles are navigated and assigned to the optimized routes according to the information of real-time and predicted traffic flow so that the optimization of traffic flow system and travelerspsila satisfaction degree can be both achieved. The architecture of traffic flow predictive control is presented in this paper including such two parts as traffic flow navigation predictive control or dynamic ...
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