Two-Dimensional Dissipative Control and Filtering for Roesser Model

Ahn, Choon Ki; Shi, Peng; Basin, Michael

doi:10.1109/tac.2015.2398887

Cited by 310 publications

(74 citation statements)

References 46 publications

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“…H opt can be obtain by minimizing (18). We see that (18) is a function of N, q 1 , q 2 , and r. Thus, (18) can be represented as fðN; q 1 ; q 2 ; rÞ ¼ q…”

Section: Camentioning

confidence: 99%

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Optimal horizon size for unbiased finite memory digital phase-locked loop

You

Pak

Kim

2017

IEICE Electron. Express

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Digital phase locked-loop (DPLL) is a circuit system for frequency synchronization, and unbiased finite memory DPLL (UFMDPLL) is DPLL using a finite impulse response (FIR) filter for phase detection. This letter proposes a novel method for finding the optimal horizon size, which is a key design parameter of UFMDPLL, based on the minimization of the estimation error variance. The effectiveness and efficiency of the proposed method are demonstrated in comparisons using the conventional Monte Carlo simulation method.

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“…H opt can be obtain by minimizing (18). We see that (18) is a function of N, q 1 , q 2 , and r. Thus, (18) can be represented as fðN; q 1 ; q 2 ; rÞ ¼ q…”

Section: Camentioning

confidence: 99%

“…Unbiased finite memory DPLL (UFMDPLL) was proposed in [10] to overcome the drawbacks of KF-based DPLL. UFMDPLL is based on the finite impulse response (FIR) filter [12,13,14,15,16,17,18,19,20,21] using only recent finite measurements, and it showed superior robustness against computational errors than KF-based DPLL.…”

Section: Introductionmentioning

confidence: 99%

Optimal horizon size for unbiased finite memory digital phase-locked loop

You

Pak

Kim

2017

IEICE Electron. Express

View full text Add to dashboard Cite

show abstract

“…Therefore, it is important to design a reasonable controller for the flexible manipulator with the unmeasured speed. In recent years, according to some research studies, the problems of immeasurable state in nonlinear systems via suitable observer have been solved [7][8][9]. In ref.…”

Section: Introductionmentioning

confidence: 99%

Adaptive fuzzy backstepping output constraint control of flexible manipulator with actuator saturation

Chang

Tong

2016

Neural Comput & Applic

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This paper deals with the problem of adaptive fuzzy tracking control for a single-link robotic manipulator coupled to a brushed direct current motor with actuator saturation. Fuzzy logic systems are used to approximate the unknown nonlinear systems. The filtered signals are introduced to eliminate the interference of high-frequency signals. The virtual/actual control inputs are derived from the solutions of a series of dynamical equations. Under the framework of the backstepping control design, an observerbased output feedback control design scheme is proposed. It is proved that the control approach can guarantee that all the signals in the closed-loop system are bounded.

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“…On another research front line, the vast majority of real-time physical systems and complex industrial processes including 2-D dynamic systems [3,4,5], result in rather sophisticated high-order mathematical analysis model. It poses great challenge on system performance analysis and the corresponding control system design.…”

Section: Introductionmentioning

confidence: 99%

Reduced-order model approximation of fuzzy switched systems with pre-specified performance

Liu

Song

et al. 2016

Information Sciences

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The reduced-order model approximation problem for discrete-time hybrid switched nonlinear systems is addressed via TakagiSugeno (T-S) fuzzy modelling in this paper. For a high-dimension hybrid switched nonlinear system, our aim is on how to construct a reduced-dimension hybrid switched model, approximating its original high-order model well with a pre-specified system performance level. Firstly, the mean-square exponential stability analysis is provided, in which it guarantees the given weighted H ∞ system performance level for the augmented error dynamic system by the average dwell time analysis approach and the hybrid switched Lyapunov stability theory. The solution of corresponding model reduction problem with pre-specified performance is given by using the projection Lemma, by which the algorithm of the reduced-order hybrid switched model parameters are designed by the cone complementary linearization technique. Finally, the advantage and effectiveness of the proposed reduced-order model approximation approach are shown by the simulation result.

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Two-Dimensional Dissipative Control and Filtering for Roesser Model

Cited by 310 publications

References 46 publications

Optimal horizon size for unbiased finite memory digital phase-locked loop

Optimal horizon size for unbiased finite memory digital phase-locked loop

Adaptive fuzzy backstepping output constraint control of flexible manipulator with actuator saturation

Reduced-order model approximation of fuzzy switched systems with pre-specified performance

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