Fed-batch processes are inherently more difficult to characterize than continuous processes due to the variations under different operation stages, drifting and small-sample condition. The classical kernel-based regre...
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The robust D stabilization problem is considered for singular systems with polytopic uncertainties in this *** the derivative matrix E and the state matrix A are with uncertainties,which were not considered ***,with t...
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The robust D stabilization problem is considered for singular systems with polytopic uncertainties in this *** the derivative matrix E and the state matrix A are with uncertainties,which were not considered ***,with the introduction of some free matrices,a necessary and sufficient condition for the singular system to be D stable is proposed,based on which,the robust D stable problem is solved,and a sufficient condition for the closed system to be robust D stabilizable is *** desired state feedback controller is given in an explicit *** examples show the efficiency of the proposed approach.
To monitor industrial processes through a probabilistic manner, the probabilistic principal component analysis (PPCA) method has recently been introduced. However, PPCA has its inherent limitation that it cannot deter...
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We consider a class of networked controlsystems (NCSs) where the plant has time-varying norm-bounded parameter uncertainties, the network only provides a limited number of simultaneous accesses for the sensors and ac...
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This paper is concerned with the problem of robust controller design for electro-hydraulic servo systems driven by double-rod hydraulic actuators. Firstly, by introducing a linear varying parameter, an electro hydraul...
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In this paper dynamic power shaping control is applied to a continuous fermentation process which is a benchmark problem in the nonlinear process systems. In contrast with other techniques, dynamic power shaping contr...
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ISBN:
(纸本)9781424474264
In this paper dynamic power shaping control is applied to a continuous fermentation process which is a benchmark problem in the nonlinear process systems. In contrast with other techniques, dynamic power shaping control yields a nonlinear state feedback that ensures the asymptotic stability of the desired equilibrium of the fermentation process. Moreover, as the biomass concentration is hardly measurable, a observer-based power shaping controller is designed and can also make the fermentation asymptotically stable. Simulation results are shown to demonstrate the close-loop performance of the proposed method.
This paper deals with the stabilization problem of uncertain nonlinear systems by passivity-based adaptive integral sliding mode control. The systems may possess both parametric uncertainties and unknown nonlinear fun...
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This paper deals with the stabilization problem of uncertain nonlinear systems by passivity-based adaptive integral sliding mode control. The systems may possess both parametric uncertainties and unknown nonlinear functions that may represent modeling errors and external disturbances. The proposed method first combines immersion and invariance adaptive control with integral sliding mode control, which preserves the advantages of the two methods, namely asymptotic stability of adaptive control in the presence of parametric uncertainties, and stronger robustness with integral sliding mode control for both parametric uncertainties and unknown bounded nonlinear functions.
In this paper, a heuristic algorithm which embedded in the Lagrangian relaxation algorithm is proposed to obtain the near optimal solution to minimize the total weighted complete time in the Hybrid flow shop problem (...
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ISBN:
(纸本)9781424485017
In this paper, a heuristic algorithm which embedded in the Lagrangian relaxation algorithm is proposed to obtain the near optimal solution to minimize the total weighted complete time in the Hybrid flow shop problem (HFS). Compared with the original precedence capacity relaxation algorithm proposed by Tang et al., our algorithm can produce a better solution in most cases.
Based on the state-of-the-art technologies of the Internet of Things (IOT) and Radio Frequency Identifier (RFID) this paper introduces the concepts of IOT/RFID and investigates its open research opportunity and potent...
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ISBN:
(纸本)9781424485017
Based on the state-of-the-art technologies of the Internet of Things (IOT) and Radio Frequency Identifier (RFID) this paper introduces the concepts of IOT/RFID and investigates its open research opportunity and potential applications in real-time monitoring and dispatch controls for semiconductor wafer fabrication (FAB).
Recursive subspace identification methods have been an active area of research in recent years. In this paper, a recursive version of a closed-loop subspace method is proposed for on-line system modeling. The algorith...
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Recursive subspace identification methods have been an active area of research in recent years. In this paper, a recursive version of a closed-loop subspace method is proposed for on-line system modeling. The algorithm is based on the predictor Markov parameters and is prone to a very simple and computationally attractive implementation. A numerical example shows the effectiveness of the proposed algorithm on the problem of closed-loop recursive identification.
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