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2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control
The following topics are dealt with: computer aided control system design; robust control; mechatronics; switched systems; hybrid systems; model predictive control; nonlinear control systems; automotive control systems; human centered applications; networked control systems; process control; robotics; adaptive control; intelligent control; fuzzy control; power systems; combustion engines; identification;...
Computer Aided Control Engineering involves three parallel streams: Simulation and modelling, Control system design (off-line), and Controller implementation. In industry the bottleneck problem has always been modelling, and this remains the case - that is where control (and other) engineers put most of their technical effort. Although great advances in software tools have been made, the cost of modelling...
System identification in closed loop operation has witnessed a very important development in the last ten years. Two main reasons motivated this development: the frequent requirement for system identification in closed loop (either because the system is unstable or has important drift in open loop operation or because a controller exists already), and the important discovery that models identified...
The topic of this workshop is Distributed Intelligent Networks and Systems (DINS). The workshop aims to help develop a strategy to build a better “home” for the research areas and technologies within the scope of DINS. These research areas and technologies cut across the traditional boundaries of many IEEE technical societies, and a more coordinated approach is likely to bring greater visibility to...
Neural networks and fuzzy systems are natural candidates as approximators of a nonlinear time series or dynamical system, due to their intrinsic nonlinearity and computational simplicity. Under the stationarity hypothesis for the system generating the data, the NARX (Nonlinear Auto-Regressive with an eXogenous (X) variable) neural networks are able to solve the nonlinear identification problem. The...
Computer Aided Control Engineering involves three parallel streams: Simulation and modelling, Control system design (off-line), and Controller implementation. In industry the bottleneck problem has always been modelling, and this remains the case - that is where control (and other) engineers put most of their technical effort. Although great advances in software tools have been made, the cost of modelling...
Software tools are playing an increasingly central role in the adoption and dissemination of CACSD techniques throughout academia and industry. As a leading provider of such tools for the past 20 years, MathWorks has been actively involved in shaping and facilitating the software revolution in control systems engineering.
Nowadays, modeling dynamical systems often yields state-space models of very high order (that is, 10,000 or more equations). In order to guarantee a numerical simulation in reasonable time, the dynamical system is reduced to one of the same form which allows simulation of and control-design for the reduced-order state-space model in much less computing time. Usually one would like to obtain a reduced-order...
Formations of robots, underwater vehicles and autonomous airborne vehicles are slowly being deployed to tackle problems in both civilian and military spheres—bush fire control, surveillance and the like. In many situations, it is desirable that the formation maintain its shape while executing an overall change of location, or change from one shape to another, perhaps to avoid an obstacle; again, on...
It is shown in how far driver assistance systems can contribute to enhance the overall traffic safety. Thereby it must be considered as a goal to increase the performance of active safety systems in the scope of an integrated approach, allowing to realize a variety of interactions between the three elements involved in a traffic scenario: the driver, the vehicle and the driving environment. Focus...
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