:: ICCAS 2015 ::

TP01		Control Theory and Applications
Time : 17:00~18:30 Room : 201~204		Chair : (, )



	TP01-1

H∞ State-Feedback Control for Continuous-Time Markovian Jump Systems with Partly Unknown Transition Probabilities
In Seok Park, Nam Kyu Kwon, POOGYEON PARK(POSTECH, Korea, Republic of )

The aim of this paper is to derive the H∞ stabilization condition such that the MJS with partly unknown transition probabilities is stochastically stable with γ-disturbance attenuation. First of all, the transition rates associated with the transition probabilities are expressed in terms of the three properties without the lower and upper bounds of the transition rates, differently from other approaches in the literature. Then, the H∞ stabilization conditions are derived in the LMIs. Finally, a numerical example is presented to illustrate the effectiveness of the proposed method.



	TP01-2

Stochastic stability analysis of semi-Markovian jump linear systems via a relaxation technique for time-varying transition rates
Sung Hyun Kim, Ngoc Hoai An Nguyen(University of Ulsan, Korea, Republic of )

This paper investigates the stochastic stability analysis problem for a class of continuous-time semi-Markovian jump linear systems. To this end, the stability condition for S-MJLSs is first formulated in the form of two set constraints and a matrix inequality dependent on the time-varying transition rates stemming from sojourn time. And then, the sojourn-time-dependent stability condition is converted into a finite set of linear matrix inequalities via the use of a relaxation technique capable of considering all possible constraints associated with time-varying transition rates.



	TP01-3

Improved H∞ state-feedback control for discrete-time Markovian jump systems with incomplete knowledge of transition probabilities
Nam Kyu Kwon, BumYong Park, POOGYEON PARK(POSTECH, Korea, Republic of )

This paper considers improved H∞ state-feedback control for discrete-time Markovian jump systems with incomplete knowledge of transition probabilities. To achieve the better H∞ performance, this paper proposes two valuable approaches. The H∞ stabilization conditions consist of two parts which are transition probability independent part and dependent part. Finally, two numerical examples are provided to illustrate the effectiveness of the proposed method.



	TP01-4

Analysis and Control of Capacitive-coupled Wireless Power Transmission System
Hee-Su Choi, Jun-Young Park, Sung-Jin Choi(University of Ulsan, Korea, Republic of )

Electric field-coupled wireless power transmission utilizes the electric field applied between the physically separated metal plates. In this application, how to provide the regulated output voltage through the resonant LC link are challenging task. In this paper, analysis and control design of such system are investigated. Following small signal and high Q approximation, transfer function of the overall power stage is extracted and the control loop is designed in the frequency domain. The theoretical results are verified by PSIM simulation for a 10V/0.5A prototype system.



	TP01-5

Grey prediction method for forecasting the capacity of lithium-ion batteries
Daehyun Kim, Taedong Goh, Minjun Park, Minhwan Seo, Sang Woo Kim(POSTECH, Korea, Republic of )

The battery performance is gradually decreased over its cycle life as a result of capacity loss. This paper proposes a capacity forecasting method of lithium-ion battery pack using a grey predictor. In this method, the forecasted capacity of battery pack is obtained from the previous four measured capacity data. The prediction performance of the proposed method is verified through a comparison with the prediction results from the curve-fitting based method.



	TP01-6

H_∞ control based on LPV for load torque compensation of PMSM
Hoonyoung Lee(Systems and control Lab. Hanyang University, Korea, Republic of ), Youngwoo Lee, Donghoon Shin(Hanyang university, Korea, Republic of ), Chung Choo Chung(Hanyang University, Korea, Republic of )

This paper proposes H_inf control based on linear parameter varying(LPV) systems for load torque compensation of the permanent magnet synchronous motors(PMSMs). The proposed method consists of torque modulation, commutation scheme and LPV H_inf controller. The dynamics of PMSMs was represented as the LPV systems depend on varying parameters. By the LPV modeling, we designed H_inf controller. Stability is proven by Lyapunov theorem. Finally, simulations are performed to show that the proposed method has a good performance of load torque compensation.

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