Artificial Intelligence in Real-Time Control 1998

Chapter headings and selected papers: Architectures for Real-Time Expert Systems. Handling timing in a time-critical reasoning system in a case study (L. Motus). Hybrid Systems. Behavioral programming: enabling a "middle-out" approach to learning and intelligent systems (M.S. Branicky). Evolutionary. How fast can a species adapt and still be evolutionary stable (T.L. Vincent). Real-World Tasks. A study and implementation of intelligent node based on LonWorks technology (Junjie Wang). Special Session on Distributed Control & Panel Discussion. Flow control with electric actuators (C.C. Federspiel). Visualization & Imaging. Spectroscopic imaging sensors in materials process control (J.F. Maguire). Evolutionary. Synthetic optimization approach of combining regional guided order principle and biological evolution strategies and its applications (Chang-Yun Shen). Theoretical Issues & Topics. Compactness of a set of membership functions in L2 space and its application to fuzzy optimal control (Takashi Mitsuishi). Fuzzy or Rough Sets. Predictive control by multiple-step linearization of Takagi-Sugeno fuzzy models (S. Mollov et al.). Framework for approximate time rough control systems an integrated fuzzy sets-rough sets approach (J.F. Peters et al.). Generic Principles and Strategies. Fault-tolerant process control and some future directions (Jianbo Meng). Nonlinear process modeling using a dynamically recurrent neural network (Shi-Rong Liu). Real-World Tasks. Mimicking a fuzzy flight controller using B-splines (A. Aznar Fernández-Montesinos et al.).