In this paper,a method sustaining system stability after decomposition is proposed.Based on the stability criterion derived from the energy function,a set of intelligent controllers is synthesized which is used to mai...In this paper,a method sustaining system stability after decomposition is proposed.Based on the stability criterion derived from the energy function,a set of intelligent controllers is synthesized which is used to maintain the stability of the system.The sustainable stability problem can be reformulated as a Linear Matrix Inequalities(LMI)problem.The key to guaranteeing the stability of the system as a whole is to find a common symmetrically positive definite matrix for all subsystems.Furthermore,the Evolved Bat Algorithm(EBA)is employed to replace the pole assignment method and the conventional mathematical methods for solving the LMI.The EBA is utilized to find feasible solutions in terms of the energy equation.The experimental results show that the EBA is capable of providing proper solutions,which satisfy the sustainability and stability criteria,after a short period of recursive computing.展开更多
This paper proposes a novel artificial intelligence sythethized controller in the mechanical system which has high speed computation because of the LMI type criterion.The proposed membership functions are adopted and ...This paper proposes a novel artificial intelligence sythethized controller in the mechanical system which has high speed computation because of the LMI type criterion.The proposed membership functions are adopted and stabilization criterion of the closed-loop T-S fuzzy systems are obtained through a new parametrized LMI(linear matrix)inequality which is rearranged by machine learning membership functions.展开更多
The authors would like to make the following corrections to our published paper[1].The first author’s name is corrected from“Tcw Chen1”to“Tim Chen1”.The first affiliation address is corrected from“1 Department o...The authors would like to make the following corrections to our published paper[1].The first author’s name is corrected from“Tcw Chen1”to“Tim Chen1”.The first affiliation address is corrected from“1 Department of Electrical and Computer Engineering,North South University,Dhaka-1229,Bagladesh.”to“1 Faculty of Information Technology,Ton Duc Thang University,Ho Chi Minh City,Vietnam.”.展开更多
文摘In this paper,a method sustaining system stability after decomposition is proposed.Based on the stability criterion derived from the energy function,a set of intelligent controllers is synthesized which is used to maintain the stability of the system.The sustainable stability problem can be reformulated as a Linear Matrix Inequalities(LMI)problem.The key to guaranteeing the stability of the system as a whole is to find a common symmetrically positive definite matrix for all subsystems.Furthermore,the Evolved Bat Algorithm(EBA)is employed to replace the pole assignment method and the conventional mathematical methods for solving the LMI.The EBA is utilized to find feasible solutions in terms of the energy equation.The experimental results show that the EBA is capable of providing proper solutions,which satisfy the sustainability and stability criteria,after a short period of recursive computing.
文摘This paper proposes a novel artificial intelligence sythethized controller in the mechanical system which has high speed computation because of the LMI type criterion.The proposed membership functions are adopted and stabilization criterion of the closed-loop T-S fuzzy systems are obtained through a new parametrized LMI(linear matrix)inequality which is rearranged by machine learning membership functions.
文摘The authors would like to make the following corrections to our published paper[1].The first author’s name is corrected from“Tcw Chen1”to“Tim Chen1”.The first affiliation address is corrected from“1 Department of Electrical and Computer Engineering,North South University,Dhaka-1229,Bagladesh.”to“1 Faculty of Information Technology,Ton Duc Thang University,Ho Chi Minh City,Vietnam.”.
