In this paper, we address stability and robustness properties of hybrid limit cycles for a class of hybrid systems with multiple jumps in one period. The main results entail equivalent characterizations of stability o...
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This paper presents a model-free H2/H∞ Q-learning predictive control strategy for linear discrete-time systems. To design predictive controller with the system measured states, a policy iteration solution algorithm i...
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The problem of controller synthesis in a fixed time interval for discrete-time switching Markov jump systems is dealt with in this paper. Compared with the existing results, the new proposed stabilization conditions a...
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This paper aims to generalize the loop interaction measurement, relative normalized gain array (RNGA), for multivariable systems regarding a class of reference inputs. In the existing studies, RNGA loop pairing criter...
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This paper details a novel approach for describing dynamics of complex systems by pattern recognition techniques. It is a new statistical modeling method to solve the problems that some production processes can not be...
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Most regression approaches, such as principal component analysis (PCA), are based on an assumption that the process data follow a Gaussian distribution. However, the process data usually dissatisfy that assumption. Th...
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Two general approaches are adopted in solving dynamic optimization problems in chemicalprocesses, namely, the analytical and numerical methods. The numerical method, which is based on heuristic algorithms, has been w...
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Two general approaches are adopted in solving dynamic optimization problems in chemicalprocesses, namely, the analytical and numerical methods. The numerical method, which is based on heuristic algorithms, has been widely used. An approach that combines differential evolution (DE) algorithm and control vector parameteri- zation (CVP) is proposed in this paper. In the proposed CVP, control variables are approximated with polynomials based on state variables and time in the entire time interval. Region reduction strategy is used in DE to reduce the width of the search region, which improves the computing efficiency. The results of the case studies demonstrate the feasibility and efficiency of the oroposed methods.
This paper presents a simple analytical method for the design of full matrix PI controller based on the direct synthesis approach. By proposing the practically desired closed-loop diagonal transfer function to reduce ...
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This paper studies the parameter estimation problems of nonlinear systems with colored noise using the covariance matrix adaptation evolution strategy(CMA-ES),which is one of the most competitive evolutionary algorith...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
This paper studies the parameter estimation problems of nonlinear systems with colored noise using the covariance matrix adaptation evolution strategy(CMA-ES),which is one of the most competitive evolutionary algorithms available and has been applied in the area of reinforcement learning and process ***,a major limit ationthatimpedes the application of the CMA-ES is the high computational complexity caused by matrix *** alleviate this problem,an efficient Cholesky CMA-ES is proposed,which uses the Cholesky factor instead of the covariance matrix to reduce the computational complexity,and updates the search direction and distribution mean based on the conjugate gradient method to further improve the search *** virtue of the auxiliary model identification idea,the Cholesky CMA-ES can be applied to the parameter estimation problems of the Hammerstein nonlinear systems with colored noise.A simulation example is provided to demonstrate its effectiveness.
Set stabilization for Boolean networks which is a kind of genetic regulatory networks is considered in this paper. An algorithm is provided to achieve the set stability for Boolean networks by changing the columns of ...
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ISBN:
(纸本)9781509009107
Set stabilization for Boolean networks which is a kind of genetic regulatory networks is considered in this paper. An algorithm is provided to achieve the set stability for Boolean networks by changing the columns of the transition matrices of Boolean networks. Then, pinning nodes can be selected. Furthermore, pinning control design algorithm is given. Finally, the model for infection of the bacterium is presented to illustrate the effectiveness of the proposed results.
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