New developments in computer networks and communications provide new possibilities also for control purposes. control systems for highly complex plants are themselves very complex and heterogeneous. A new software and...
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Disturbance rejection performance is usually the most important aspect in designing controller in the process and the chemical industries. On the other hand, such tuned control loop may exhibit large overshoots on ref...
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Discrete event systems (DES) describe the behavior of a plant as it evolves over time in accordance with the abrupt and asynchronous occurrence of events. Such systems are encountered in a variety of fields, for examp...
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A new type of knowledge adaptive control based on the closed-loop response recognition is proposed. This approach tries to mimic the behaviour of an expert, who has a lot of experience with the particular controlled s...
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The paper deals with a new procedure for robust output feedback controller design providing affine quadratic stability. The developed procedure leads to a noniterative LMI based algorithm. The proposed affine robust c...
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GO-CAD brings some novel functions and features to the intelligent building design and virtual reality simulation. This paper presents a novel methodology simulation during lighting simulation of a building to acquire...
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An analysis of the transportation systems used in the flexible manufacturing systems is introduced in the paper. Based on the analysis a class of the transportation systems is delimited, whose modeling and control is ...
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This paper dealt with modelling and control of non-linear dynamic processes by artifiacal neural network with orthogonal and wavelet activation functions. Wavelet decomposition is employed to explore the characteristi...
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The paper addresses the design of a robust output feedback controller for SISO systems using extremal transfer functions and the classical control theory approach. It focuses on robust stabilization of uncertain plant...
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controller design approach is described, which is based on genetic algorithms. The approach uses an optimisation procedure, where the cost function to be minimised consists of the closed-loop system simulation and a p...
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