Neural Adaptive Control Technology

ISBN: 9789810225575 出版年：1996 页码：357 Rafal Zbikowski Kenneth J Hunt World Scientific Publishing Company

Part 1 Neural adaptive control technology: discrete-time neural model structures for continuous nonlinear systems - fundamental properties and control aspects, J.C. Kalkkuhl and K.J. Hunt continuous-time local model networks, P.J. Gawthrop nonuniform sampling approach to control systems modelling with feedforward networks, R. Zbikowski and A. Dzielinski. Part 2 Nonlinear control fundamentals for neural networks: geometric methods in nonlinear control theory - a survey, W. Respondek local reachability and local controllability of a class of 2-D bilinear systems, T. Kaczorek stable adaptive control of a general class of nonlinear systems, T.A. Johansen and M.M. Polycarpou. Part 3 Neural techniques and applications: process modelling with state-space neural predictors, I. Rivals et al an approach to intelligent identification and control on nonlinear dynamic systems, applied to optimizing lean-burn engine controls, D.A. Sofge and D.L. Elliott improved CMAC-type memories for learning control, W.S. Mischo interpretation and analysis of empirical models identified with the ASMOD algorithm, T. Kavli and G. Lines.