Performance monitoring of model predictive controlsystems (MPC) has received a great interest from both academia and industry. In recent years some novel approaches for multivariate control performance monitoring hav...
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ISBN:
(纸本)9783902661548
Performance monitoring of model predictive controlsystems (MPC) has received a great interest from both academia and industry. In recent years some novel approaches for multivariate control performance monitoring have been developed without the requirement of process models or interactor matrices. Among them the prediction error approach has been shown to be a promising one, but it is k-step prediction based and may not be fully comparable with the MPC objective that is multi-step prediction based. This paper develops a multi-step prediction error approach for performance monitoring of model predictive controlsystems, and demonstrates its application in an industrial MPC performance monitoring and diagnosis problem.
In this contribution, we investigate a class of observer-based discrete-time networked controlsystems(NCSs)with random packet dropouts occurring independently in both the sensor-to-controller(S/C) and controller-to-a...
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In this contribution, we investigate a class of observer-based discrete-time networked controlsystems(NCSs)with random packet dropouts occurring independently in both the sensor-to-controller(S/C) and controller-to-actuator(C/A)*** first propose and prove a separation principle for the general class of NCSs where packet dropouts in the C/A and S/C channels are governed by two independent Markov chains, *** then derive necessary and sufficient conditions, in terms of linear matrix inequalities, for synthesis of stabilisation control of a class of NCSs where the C/A channel is driven by a Markov chain while the S/C channel is driven by a Bernoulli process.A numerical example is provided to illustrate the effectiveness of our proposed method.
The problem of delay-dependent H ∞ control for singular systems with state delay is discussed. In terms of linear matrix inequality (LMI) approach, a delay-dependent bounded real lemma (BRL) is presented to ensure th...
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The problem of delay-dependent H ∞ control for singular systems with state delay is discussed. In terms of linear matrix inequality (LMI) approach, a delay-dependent bounded real lemma (BRL) is presented to ensure the system to be regular, impulse free, and stable with H ∞ performance condition via an augmented Lyapunov functional. Based on the BRL obtained, the delay-dependent condition for the existence of H ∞ state feedback controller is presented via strict LMI. An explicit expression for the desired state feedback controller is also given. Numerical examples are presented to illustrate the significant improvement on the conservativeness of some reported results in the literature.
The robust D stabilization problem is considered for singular systems with polytopic uncertainties in this paper. Both the derivative matrix E and the state matrix A are with uncertainties, under the assumption that t...
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ISBN:
(纸本)9781424445233
The robust D stabilization problem is considered for singular systems with polytopic uncertainties in this paper. Both the derivative matrix E and the state matrix A are with uncertainties, under the assumption that the rank of matrix E is constant. Firstly, with the introduction of some free matrices, a new dilated LMI 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 obtained. The desired state feedback controller is given in an explicit expression. Numerical examples show the efficiency of the obtained approach.
In this survey we focus on a variety of sensor nodes deployment algorithms that have been proposed and studied by researchers through the years. Some recent development of this research topic is introduced in a classi...
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Non-Gaussian processes monitoring has recently caught much attentions in this area, with several methods successfully developed, such as non-parameter estimation,independent component analysis(ICA), support vector dat...
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Non-Gaussian processes monitoring has recently caught much attentions in this area, with several methods successfully developed, such as non-parameter estimation,independent component analysis(ICA), support vector data description(SVDD), and etc. However, most of current research works are under the assumption that the process is operated in a single mode. This paper proposed a novel method for monitoring multimode non-Gaussian processes, which is based on Bayesian inference. To improve the comprehension of the process for the operation engineer, a corresponding mode localization approach is also given. A case study on the Tennessee Eastman(TE) benchmark process shows the feasibility and efficiency of the proposed method.
This paper is concerned with the control performance assessment based on the multivariable generalized minimum variance *** an explicit expression for the feedback controller-invariant(here we call it generalized mini...
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This paper is concerned with the control performance assessment based on the multivariable generalized minimum variance *** an explicit expression for the feedback controller-invariant(here we call it generalized minimum variance) term of the multivariable controlsystems is obtained, and consequently the derived feedback controllerinvariant term is used as a standard benchmark for the assessment of the control performance of MIMO *** proposed approach is based on the multivariable minimum variance benchmark and univariate generalized minimum variance *** is the extension of the above two *** comparison with the minimum variance benchmark, the new approach is more reasonable and practical for the control performance assessment of multivariable ***, it does need more information of the *** utility of the developed approach is illustrated by simulation example.
This paper presents a novel method to design Petri net-based deadlock prevention controllers for flexible manufacturing systems. It starts from the computation of the complete deadlock markings by utilizing the conser...
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This paper presents a novel method to design Petri net-based deadlock prevention controllers for flexible manufacturing systems. It starts from the computation of the complete deadlock markings by utilizing the conservativeness property of a Petri net model and the necessary and sufficient condition for deadlock. Then, it verifies a small state space including the dangerous and bad markings only by combining one-step look-forward through the original net and one-step look-backward via its reverse net. Subsequently, it defines the set of place invariants from the subset of marked operation places for the so called ¿elementary controlled bad markings¿. Finally, it synthesizes a deadlock prevention controller by a simplified invariant-based method. Its obtained deadlock-free controller allows more behavior of the closed-loop system than those obtained via a siphon-based control method. Its computational efficiency is higher than those based on a complete reachability graph-based control method.
A novel finite word length(FWL) controller design is developed in the framework of mixed μ theory.A robust FWL controller performance measure is proposed which takes into account the standard robust control requireme...
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A novel finite word length(FWL) controller design is developed in the framework of mixed μ theory.A robust FWL controller performance measure is proposed which takes into account the standard robust control requirements as well as the FWL implementation considerations, and the corresponding FWL robust controller design problem is naturally reformulated as a mixed μ problem which can be treated effectively with the results of mixed μ theory.
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