论文信息 - Autonomous Control Systems: Architecture and Fundamental Issues

Autonomous Control Systems: Architecture and Fundamental Issues

Autonomous control systems must perform well under significant uncertainties in the plant and the environment for extended periods of time and they must be able to compensate for system failures without external intervention. Such control systems evolve from conventional control systems and their development requires interdisciplinary research. A hierarchical functional autonomous control architecture is introduced here and its functions are described in detail. The fundamental issues in autonomous control system modelling and analysis are discussed.

K.M. Passino | P.J. Antsaklis | S.J. Wang

[1] G. N. Saridis. Knowledge implementation: structures of intelligent control systems , 1988 .

[2] G.N. Saridis,et al. Toward the realization of intelligent controls , 1979, Proceedings of the IEEE.

[3] Panos J. Antsaklis,et al. Fault detection and identification in an intelligent restructurable controller , 1988, J. Intell. Robotic Syst..

[4] P.J. Antsaklis,et al. Artificial Intelligence Planning Problems in a Petri Net Framework , 1988, 1988 American Control Conference.

[5] King-Sun Fu,et al. Learning control systems and intelligent control systems: An intersection of artifical intelligence and automatic control , 1971 .

[6] Agostino Villa,et al. Integration of multi-hierarchy control architectures for complex systems , 1987 .

[7] K. De Jong. Intelligent control: integrating AI and control theory , 1983 .

[8] Kimon Valavanis,et al. Architectural models for intelligent machines , 1986, 1986 25th IEEE Conference on Decision and Control.