Browsing by Author "LEE, FC"

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A MODIFIED CRITERION FOR OPTIMAL LINEAR TIME-INVARIANT OBSERVER PROBLEMS
(1994-06-01)
HWANG, MS
;
LEE, FC
;
電控工程研究所
;
Institute of Electrical and Control Engineering
A modified criterion for designing a linear time-invariant observer is studied. This criterion is a compromise between errors due to stochastic and modal-type deterministic signals. The advantage of this criterion is in its design potentiality to take care of both transient and steady-state behavior. Theoretical properties such as existence, uniqueness, and stability of the optimal solution can be guaranteed for detectable systems under a weak stabilizability condition, which is satisfied by any reasonably defined problem. Moreover, under the criterion, relationships with other existing methods are also discussed.
A MODIFIED CRITERION FOR OUTPUT-FEEDBACK TRACKING PROBLEMS WITH DETERMINISTIC AND STOCHASTIC SIGNALS
(1995-09-01)
HWANG, MS
;
LEE, FC
;
電控工程研究所
;
Institute of Electrical and Control Engineering
A modified criterion for designing a linear time-invariant controller for an output feedback tracking problem is studied. This criterion takes the responses due to stochastic and deterministic signals into account. The advantage of this criterion is in its design potentiality to take care of both performances due to stochastic and deterministic signals in a time-invariant controller. Theoretical properties of this criterion include existence, uniqueness and closed-loop stability of the optimal solution. Moreover, this solution satisfies a separation property and incorporates a required internal model for the tracking requirement.
ON THE IDENTIFICATION OF POLYNOMIAL INPUT-OUTPUT DIFFERENTIAL-SYSTEMS
(1985)
PEARSON, AE
;
LEE, FC
;
電控工程研究所
;
Institute of Electrical and Control Engineering
PERFORMANCE RECOVERY VIA A CONTROLLERS INITIAL-STATE ASSIGNMENT FOR AN OUTPUT TRACKING PROBLEM
(1994-12-01)
HWANG, MS
;
LEE, FC
;
電控工程研究所
;
Institute of Electrical and Control Engineering
This paper deals with the optimal output feedback problem of how to initialize a controller's state when the initial value of the system is known. Special attention is paid to a tracking problem. Owing to the design freedom of the controller's initial state, there exist optimal controllers to recover the optimal performance that a state feedback law can attain. Other advantages with our optimal controllers are the requisite internal model and an invariance property, which shows that the assignment of a controller's dynamic parameters is independent of the-system's initial state.