In this paper the attitude control, by PID controllers, of a helicopter model with two degrees of freedom is considered. Cross-coupling in the system being neglected, dynamics of elevation and azimuth are independentl...
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Continuous growth of population all over the world creates a great challenge to the transport management systems. The future intelligent transportation systems incorporates one important aspect of automation component...
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In this paper we emphasize the importance of evaluating the intelligence level of intelligent controlsystems. We bring forward the idea that the evaluating system is composed of a three tier construction: organizing ...
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computeraidedcontrol Engineering involves three parallel streams: Simulation and modelling, controlsystemdesign (off-line), and controller implementation. In industry the bottleneck problem has always been modelli...
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ISBN:
(纸本)9780780397989
computeraidedcontrol Engineering involves three parallel streams: Simulation and modelling, controlsystemdesign (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 remains very high - too high for some sectors. Object-oriented modelling, enabling truly re-usable models, seems to be the key enabling technology here. Software tools to support controlsystems design have two aspects to them: aiding and managing the work-flow in particular projects (whether of a single engineer or of a team), and provision of numerical algorithms to support control-theoretic and systems-theoretic analysis and design. The numerical problems associated with linear systems have been largely overcome, so that most problems can be tackled routinely without difficulty - though problems remain with (some) systems of extremely large dimensions. Recent emphasis on control of hybrid and/or constrained systems is leading to the emerging importance of geometric algorithms (ellipsoidal approximation, polytope projection, etc). Constantly increasing computational power is leading to renewed interest in design by optimisation, an example of which is MPC. The explosion of embedded controlsystems has highlighted the importance of autocode generation, directly from modelling/simulation products to target processors. This is the 'new kid on the block', and again much of the focus of commercial tools is on this part of the control engineer's job. Here the control engineer can no longer ignore computer science (at least, for the time being).
During the course of evolution, colonies of ants, bees, wasps, bacteria and termites have developed sophisticated behavior, intricate communication capabilities, decentralized colony control, group foraging strategies...
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In this paper, dynamic modeling is investigated for shear stress induced adenosine triphosphate (ATP) release from endothelial cells (ECs). The modulation of ATP concentration at the endothelial surface by viscous she...
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In this paper the aim is to minimize the total harmonic distortion (THD) in PWM inverters while suppressing chosen harmonics concurrently and maintaining the fundamental component of the output voltage at a required l...
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This note deals with the problem of robust Dstability analysis on pendulum systems, with respect to structured uncertainties. Sufficient conditions, which are computationally simple, and need not calculate the eigenva...
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The proceedings contain 98 papers. The topics discussed include: neural adaptive control of dynamic sandwich systems with hysteresis;robust adaptive neural control of SISO nonlinear systems with unknown nonlinear dead...
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ISBN:
(纸本)0780397983
The proceedings contain 98 papers. The topics discussed include: neural adaptive control of dynamic sandwich systems with hysteresis;robust adaptive neural control of SISO nonlinear systems with unknown nonlinear dead-zone and gain sign;piecewise robust H-infinity filtering of fuzzy systems with time-varying uncertainty;radial basis functions based iterative learning control for stochastic distribution systems;robust adaptive control for a class of perturbed strict-feedback nonlinear systems with unknown Prandtl-Ishlinskii hysteresis;global robust asymptotical stability of delayed neural networks with parameter uncertainty;development and implementation of optimized energy-delay sub-network routing protocol for wireless sensor networks;and energy-efficient approaches to coverage holes detection in wireless sensor networks.
This paper studies the problem of adaptive robust iterative learning control for trajectory-tracked task of a class of robotic systems with both structured and unstructured uncertainties. A composite control scheme is...
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