This Workshop focuses on such issues as control algorithms which are suitable for real-time use, computer architectures which are suitable for real-time control algorithms, and applications for real-time control issues in the areas of parallel algorithms, multiprocessor systems, neural networks, fault-tolerance systems, real-time robot control identification, real-time filtering algorithms, control algorithms, fuzzy control, adaptive and self-tuning control, and real-time control applications.
Table of ContentsSection headings and selected papers: Issues in Real-Time Control. Contemporary computers considered inappropriate for real-time control, W. A. Halang. Hard deadlines in real-time control systems, K. G. Shin & H. Kim. Parallel Algorithms. Parallel algorithms for control, G. W. Irwin. Multiprocessor Systems. Fault-Tolerant Systems. Neural Networks. A parallel algorithm for training neural network based nonlinear models, G. Lightbody & G. W. Irwin. Optimal edge selection by the modified genetic algorithm, C. H. Chung & K. S. Lee. Identification. Index rule scheduling policies applied to identification, C. Olivier & O. Dessoude. A curve-broken-line method for system identification, F. Kong & R. M. C. De Keyser. Real-Time Robot Control. A new dynamic neurocontrol architecture for robot manipulators, Y. J. Moon & S. Y. Oh. Real-time algorithm of the inverse dynamics of flexible arms, G. Wang & G. Lu. Real-Time Filtering Algorithms. Structured matrices and fast RLS adaptive filtering, A. H. Sayed & T. Kailath. On stochastic lyapunov function method in optimal linear filtering problem, H. S. Hoang & O. Talagrand. Fuzzy Control. A new decomposition method of relation matrices of multivariable fuzzy systems, G. J. Jeon