Recently, we have proposed a Multi-Objective Bayesian Artificial Immune System (MOBAIS) to deal effectively with building blocks (high-quality partial solutions coded in the solution vector) in combinatorial multi-obj...
Recently, we have proposed a Multi-Objective Bayesian Artificial Immune System (MOBAIS) to deal effectively with building blocks (high-quality partial solutions coded in the solution vector) in combinatorial multi-objective problems. By replacing the mutation and cloning operators with a probabilistic model, more specifically a Bayesian network representing the joint distribution of promising solutions, MOBAIS takes into account the relationships among the variables of the problem, avoiding the disruption of already obtained high-quality partial solutions. The preliminary results have indicated that our proposal is able to properly build the Pareto front. Motivated by this scenario, this paper better formalizes the proposal and investigates its usefulness on more challenging problems. In addition, an important enhancement regarding the Bayesian network learning was incorporated into the algorithm in order to speed up its execution. To conclude, we compare MOBAIS with state-of-the-art algorithms taking into account quantitative aspects of the Pareto front found by the algorithms. MOBAIS outperforms the contenders in terms of the quality of the obtained solutions and requires an amount of computational resource inferior or compatible with the contenders.
The main design features and the results of tests carried out on a prototype of a 750 kW interior permanent-magnet (IPM) motor for ship propulsion are presented. The principal reasons for choosing an IPM motor design ...
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ISBN:
(纸本)9781424444328
The main design features and the results of tests carried out on a prototype of a 750 kW interior permanent-magnet (IPM) motor for ship propulsion are presented. The principal reasons for choosing an IPM motor design over other available types of permanent-magnet (PM) motors for ship propulsion have been discussed in detail. The test results indicate that the motor parameters and its performance confirm the predictions made in the design stage.
Finite-time optimal control problems with quadratic performance index for linear systems with linear constraints can be transformed into Quadratic Programs (QPs). Model Predictive Control requires the online solution ...
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In this paper we have analyzed the performance of the recently introduced LPA-RICI signal denoising method. The RICI method is an extension of the classical denoising method based on the intersection of confidence int...
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ISBN:
(纸本)9781424456499
In this paper we have analyzed the performance of the recently introduced LPA-RICI signal denoising method. The RICI method is an extension of the classical denoising method based on the intersection of confidence intervals (ICI) rule, whereby an additional criterion, the ratio of intersection of confidence intervals, has been included. The performance of the RICI method is studied on a several test signals for an extensive range of noise distributions and SNR values. It is shown that for all types of noise and all considered SNR values, the RICI method when compared to the ICI method significantly reduces the estimation mean squared error.
作者:
Dabo XuJie HuangApplied Control and Computing Laboratory
Department of Mechanical and Automation EngineeringComputing Laboratory Department of Mechanical and Automation Engineering Chinese University of Hong Kong New Territories Hong Kong China
This paper studies the global robust output regulation problem for a class of output feedback systems subject to an uncertain exosystem by using output feedback control. An adaptive control technique is used to handle...
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ISBN:
(纸本)9781424438716
This paper studies the global robust output regulation problem for a class of output feedback systems subject to an uncertain exosystem by using output feedback control. An adaptive control technique is used to handle the unknown parameter vector in the exosystem. It is shown that this unknown parameter vector can be exactly estimated asymptotically if the controller incorporates a minimal internal model. The effectiveness of our approach has been illustrated by an asymptotic tracking problem associated with a generalized fourth-order Lorenz system.
In this paper, a model predictive controller for time delay capsubot system is presented. Linearized dynamics is used to predictive future system behavior and a control law is derived from a quadratic cost function pe...
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In this paper, a model predictive controller for time delay capsubot system is presented. Linearized dynamics is used to predictive future system behavior and a control law is derived from a quadratic cost function penalizing the system tracking error and the control effort. It is noted that model predictive control has advantages over state feedback law because of consideration of constraints on inputs or state vectors. Examples are given to illustrate the effectiveness of the approach. Some ideas for future work are also discussed.
This paper deals with the problem of H infin norm computation for general symmetric systems and descriptor symmetric systems. The computation of H infin norm for state-space symmetric systems is extended to descript...
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This paper deals with the problem of H infin norm computation for general symmetric systems and descriptor symmetric systems. The computation of H infin norm for state-space symmetric systems is extended to descriptor symmetric systems. An explicit expression is given based on the bound real lemma (BRL), and the generalized bound real lemma (GBRL). The results have obvious computational advantages, especially for large scale descriptor symmetric systems. Additionally, two numerical examples are presented to demonstrate the feasibility and effectiveness of the results.
The problem of robust Hinfin guaranteed control for the descriptor systems with time-delay and parameter uncertainty is considered. A sufficient condition for the existence of non-fragile Hinfin controller is presente...
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The problem of robust Hinfin guaranteed control for the descriptor systems with time-delay and parameter uncertainty is considered. A sufficient condition for the existence of non-fragile Hinfin controller is presented in terms of linear matrix inequality such that the resulting closed-loop system is robustly stable and guarantees Hinfin performance index. It is proved that the condition also satisfies the requirement of guaranteed cost control and an upper bound on the given cost function can be given. Furthermore, a design method of the optimal Hinfin guaranteed cost control is given against the constant initial value. If the Hinfin performance index and the upper bound are optimized by a series of proportion, the relationship of them can be derived. A numerical example is provided to demonstrate the effectiveness and feasibility of the proposed results.
This paper presents the solution of the global robust output regulation problem for a class of nonlinear systems with relative degree one without knowing the control direction. The result is also applied to an asympto...
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ISBN:
(纸本)9781424454402
This paper presents the solution of the global robust output regulation problem for a class of nonlinear systems with relative degree one without knowing the control direction. The result is also applied to an asymptotic tracking problem associated with the well known Lorenz system.
Motivated by an adaptive synchronization problem for the Chua's circuit with an uncertain harmonic system, we first consider an adaptive stabilization problem for a class of uncertain nonlinear systems with both d...
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Motivated by an adaptive synchronization problem for the Chua's circuit with an uncertain harmonic system, we first consider an adaptive stabilization problem for a class of uncertain nonlinear systems with both dynamic and static uncertainties. A sufficient condition on the convergence of the estimated parameter to true parameter is also given. Then we show that the synchronization problem for the Chua's circuit and the uncertain harmonic system can be converted into the adaptive stabilization problem under consideration. Finally, an adaptive feedback control law is designed such that, the output of the Chua's circuit can asymptotically synchronize, in the presence of large parameter variations, with a sine function with arbitrary unknown frequency, amplitude, and phase angles.
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