An introduction to intelligent and autonomous control

摘要: Part 1 Theory and architectures: introduction to intelligent control systems with high degrees of autonomy, P.A. Antsaklis K.M. Passino a reference model architecture for design, J.S. Albus model-based concepts autonomous design simulation, B.P. Zeigler Sungdo Chi structure-based hierarchies distributed control, L. Acar U. Ozguner modelling intelligence systems, A.H. Levis nested hierarchical A. Meystel. 2 Design approaches techniques: expert K.J. Astrom K.-E. Arzen analysis artificially planning P.J. fuzzy neural H.R. Berenji learning J.A. Farrell W. Baker methods, needs architectures, M.M. Kokar in E. Grant. 3 Applications: intellingent robot prehension, Thang N. Nguyen H. Stephanou multi-sensory robotic failure diagnostic capabilities, K.P. Valavanis G. Seetharaman AUTOCREW - paradigm flight B.L. Belkin R.F. Stengel framework knowledge-based diagnosis process operations, P.R. Prased J.F. Davis.