Title :
Skill acquisition from experimental data
Author :
Lee, Sukhan ; Chen, Judy
Author_Institution :
Dept. of Comput. Sci., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
The authors present a new bottom-up approach to acquire skills in control. The acquired skills represented in the form of state transition laws are modeled by using a Petri net. The focus is on the automatic construction of such a Petri net based on observed data. Systems are considered that are difficult to control due to the problems in modeling system dynamics as well as in applying mathematical tools to derive control laws. The approach is to automatically learn state transition laws based on a globally competitive and locally cooperative algorithm, to model the state transition laws by using a Petri net, and to automatically extract an optimal control law as well as to evaluate system controllability from the Petri net that is constructed
Keywords :
Petri nets; control engineering computing; controllability; nonlinear control systems; optimal control; Petri net; bottom-up approach; controllability; globally competitive algorithm; locally cooperative algorithm; optimal control law; skill acquisition; state transition laws; system dynamics; Automatic control; Control systems; Controllability; Intelligent control; Mathematical model; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Shape control; Space technology;
Conference_Titel :
Systems, Man and Cybernetics, 1992., IEEE International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-0720-8
DOI :
10.1109/ICSMC.1992.271777
