Korea University · Engineering
Choon Ki Ahn 교수의 연구실은 주로 이산시간 선형 시스템을 대상으로 한 2차원(2-D) 제어 및 필터링 기법을 연구하며, 특히 Roesser 모델 기반의 안정성, 소산성(2-D dissipativity), H∞ 성능 및 피아스티브 성능을 동시에 확보하는 제어 설계에 초점을 맞추고 있습니다. 또한, 유한임펄스응답(FIR) 기반의 사라짐 성질(FIR)을 갖춘 신속한 응답 특성을 가진 '데드비트 소산성 필터' 개발을 통해 외부 교란에 대한 강인성을 향상시키는 데 기여하고 있습니다. 시간 지연이 있는 신경망에 대한 후퇴 수평 제어(RMH) 기법을 통해 안정성과 강인성 확보를 위한 최적화 기법도 개발하고 있습니다.
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This paper investigates the problems of two-dimensional (2-D) dissipative control and filtering for a linear discrete-time Roesser model. First, a novel sufficient condition is proposed such that the discrete-time Roesser system is asymptotically stable and 2-D (Q, S, R)-α-dissipative. Special cases, such as 2-D passivity performance and 2-D H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> performance, and feedback interconnected systems ar
This paper is concerned with the problems of receding horizon stabilization and disturbance attenuation for neural networks with time-varying delay. New delay-dependent conditions on the terminal weighting matrices of a new finite horizon cost functional for receding horizon stabilization are established for neural networks with time-varying or time-invariant delays using single- and double-integral Wirtinger-type inequalities. Based on the results, delay-dependent sufficient conditions for the
In this paper, we propose a new deadbeat dissipative filter with a finite impulse response (FIR) structure for linear discrete-time systems with external disturbance; this filter is called a deadbeat dissipative FIR filter (DDFF). The new filter ensures (Q, S, R)-α-dissipativity and the deadbeat property based on three slack matrix variables. By tuning the weighting parameters provided by the (Q, S, R)-α-dissipativity in the proposed DDFF, we present H <sub xmlns:mml="http://www.w3.org/1998/Math
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