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Discrete Event Systems, Stochastic Systems, Fuzzy and Neural Systems I: Proceedings of the 14th World Congress, International Federation of Automatic Control, Beijing, P.R. China, 5-9 July 1999: Pt. 1 - Brossura

 
9780080432212: Discrete Event Systems, Stochastic Systems, Fuzzy and Neural Systems I: Proceedings of the 14th World Congress, International Federation of Automatic Control, Beijing, P.R. China, 5-9 July 1999: Pt. 1
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Chapter headings selected papers: Control of Discrete Event Systems. Control synthesis of timed discrete event systems: part one (H. Chen, H.-M. Hanisch). Control synthesis of timed discrete event systems: part two (H. Chen, H.-M. Hanisch). Modelling and Performance of Discrete Event Systems. Modelling of distributed systems based on a generalized min plus algebra (T. Berger et al.). Hybrid Systems. Parametric analysis for linear hybrid systems (J. Hou et al.). Applications of Discrete Event System Theory. Application of a genetic algorithm in crane movement scheduling (S.J. Henriksen et al.). Scheduling and Control of Manufacturing Systems. Control robustness and electroplating line with multi-manufacturing process (S. Collart Dutilleul, J.-P. Denat). Petri Nets in Manufacturing. A linear state variable model for first-order hybrid petri nets (F. Balduzzi et al.). Systems with Markov Jump Parameters. Robust stabilization of discrete time-delay Markovian jump systems (P. Shi et al.). Control of Stochastic Systems. Quantized control of stochastic stable linear systems (K.-S. Lee, A.H. Haddad). Continuous-Time Stochastic Systems. Properties of perturbed Lyapunov mapping and its application to stochastic stability problems (T. Sasagawa). Recursive Estimation and Stochastic Approximation. Easy and accurate state estimation for nonlinear systems (M. Norgaard et al.). Neural Control Applications I. A neural networks approach to nonlinear control of neutralization process (H.D. Siahaan et al.). Neural Control Applications II. Sliding mode fuzzy control of magnetic bearing systems (T. Kosaki, M. Sano). Neural network based active control of unstable combustion systems (G.P. Liu, S. Daley). Neural Networks for Identification. A neural network for robust estimation and uncertainty intervals evaluation of nonlinear models (I.N. Silva et al.). Shifting of the center of RBF network with disturbance (Q. Song et al.). Author index. Keyword index.

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