Learning strictly positive real linear systems with uncertain parameters and unknown input disturbances

Automatica

Volumn 32, Issue 5, 1996, Pages 791-792

  Kuc, Tae Yong ^a   Lee, Jin Soo ^b  

^a Sungkyunkwan University   (South Korea)

^b Pohang University of Science and Technology (POSTECH)   (South Korea)

Author keywords

Input update; Learning control; Learning rule; Rate of convergence; Robustness; Strictly positive real system

Indexed keywords

CONTROL SYSTEM ANALYSIS; CONVERGENCE OF NUMERICAL METHODS; LEARNING SYSTEMS; MATHEMATICAL MODELS; PARAMETER ESTIMATION; ROBUSTNESS (CONTROL SYSTEMS);

LEARNING CONTROL; LEARNING RULE; STRICTLY POSITIVE REAL SYSTEMS; UNCERTAIN PARAMETERS; UNKNOWN INPUT DISTURBANCES;

LINEAR CONTROL SYSTEMS;

EID: 0030146235     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/0005-1098(96)00001-5     Document Type: Article

References (5)

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2. Arimoto, S., S. Kawamura, F. Miyasaki and S. Tamaki (1985). Learning control theory for dynamical systems. In Proc. 24th IEEE Conf. on Decision and Control, Fort Lauderdale, FL, pp. 1375-1380.
3. Oh, S., Z. Bien and I. H. Suh (1988). An iterative learning control method with application for the robot manipulator. IEEE J. Robotics and Automation, RA-4, 508-514.
4. Sastry, S. and M. Bodson (1989). Adaptive Control: Stability, Convergence, and Robustness. Prentice-Hall, Englewood Cliffs, NJ.
5. Togai, M. and O. Yamano (1986). Learning control and its optimality: analysis and its application to controlling industrial robots. In Proc. IEEE Conf. on Robotics and Automation, CA, pp. 248-253.