An introduction to intelligent and autonomous control 论文

摘要

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