This paper addresses the problem of robust H ∞ state-feedback control design for uncertain discrete-time linear systems with multiple time delays at the states and Markovian jumping parameters. The jumping parameters...
详细信息
This paper addresses the problem of robust H ∞ state-feedback control design for uncertain discrete-time linear systems with multiple time delays at the states and Markovian jumping parameters. The jumping parameters are assumed to be available and the uncertainties are supposed to belong to convex bounded domains (polytope type uncertainty). Delay-independent sufficient conditions assuring robust stochastic stability and a prescribed H ∞ disturbance attenuation for the closed-loop uncertain discrete-time linear system with multiple time delays and Markovian jumping parameters are established in terms of linear matrix inequalities, which have the advantage that can be implemented numerically veryefficiently.
This work presents results of research related to an emergency control for distribution systems. The problem is formulated within the framework of a fuzzy transportation network problem. An effective fuzzy integer pro...
详细信息
This work presents results of research related to an emergency control for distribution systems. The problem is formulated within the framework of a fuzzy transportation network problem. An effective fuzzy integer pro...
详细信息
This work presents results of research related to an emergency control for distribution systems. The problem is formulated within the framework of a fuzzy transportation network problem. An effective fuzzy integer programming model is proposed with solution based on satisfaction of operational levels. The proposed methodology has been applied to a realistic power distribution system based on a primary distribution network. The results demonstrate that the approach provides not only the convincing satisfaction of the actual requirements of the power distribution system, but also offers more information to the decision maker to improve decision making quality.
The problems of power and energy shortage (natural or associated with the advisability of load management) allocation at different levels of territorial, temporal, and situational hierarchy of consumption control are ...
详细信息
The problems of power and energy shortage (natural or associated with the advisability of load management) allocation at different levels of territorial, temporal, and situational hierarchy of consumption control are formulated within the framework of multicriteria optimization models. This permits one to realize a new technology of load management providing consideration and minimization of diverse negative consequences of power and energy shortage allocation and creation of incentive influences for consumers. The solution of multicriteria problems is based on the Bellman-Zadeh approach to decision making in a fuzzy environment. The advantages and capabilities opened by its application are discussed. The results of the paper are realized within the framework of an adaptive interactive decision making system, which can be used in allocating diverse types of resources or their shortages.
The problem of robust filtering design for uncertain linear systems with guaranteed peak-to-peak performance is addressed in this paper. The uncertain parameters are assumed to belong to convex bounded domains (i.e. p...
详细信息
The problem of robust filtering design for uncertain linear systems with guaranteed peak-to-peak performance is addressed in this paper. The uncertain parameters are assumed to belong to convex bounded domains (i.e. polytope type uncertainty). The aim is to design a full-order stable linear filter that minimizes the worst-case peak value of the filtering error output signal with respect to all magnitude bounded noise inputs, in such way that the filtering error system remains robustly stable. The minimization provides an upper bound to the L ∞ induced gain ( ℓ ∞ for discrete-time systems) of the filtering error system. The conditions for the existence of such robust filter are provided in terms of linear matrix inequalities, allowing the use of standard convex optimization procedures to solve the problem. Both continuousand discrete-time systems are considered. The formulation presented is illustrated by examples.
This paper presents results of research aimed at improving efficiency of coordinated on-line control of reactive power on the basis of developing models, methods, and a control system, integrating traditional numerica...
详细信息
This paper presents results of research aimed at improving efficiency of coordinated on-line control of reactive power on the basis of developing models, methods, and a control system, integrating traditional numerical techniques with fuzzy logic technology. An approach associated with experimental design is considered to construct diverse types of sensitivity indices, which serve as the basis for multi-attribute evaluating efficiency of control actions and, therefore, for forming rules included in a knowledge base. Procedures related to classifying power system states are presented. Questions of the construction and tuning of linguistic variables as well as rational implementation of fuzzy logic procedures are discussed.
The problem of robust H ∞ filter design for uncertain continuous-time linear systems with multiple time-delayed states is addressed in this paper. The uncertainties are assumed to belong to convex bounded domains (po...
详细信息
The problem of robust H ∞ filter design for uncertain continuous-time linear systems with multiple time-delayed states is addressed in this paper. The uncertainties are assumed to belong to convex bounded domains (polytope type uncertainty) and the time delays are supposed to be constant. Delay-independent as well as delay-dependent stability conditions assuring robust stability and a prescribed H ∞ disturbance attenuation for the filtering error system are established, in both cases, in terms of linear matrix inequalities, which can be efficiently solved by standard optimization procedures with global convergence assured. Two illustrative examples are analyzed.
This paper presents results of research aimed at improving the efficiency of the coordinated online control of system voltage and reactive power on the basis of developing models, methods, and a control system, by int...
详细信息
This paper presents results of research aimed at improving the efficiency of the coordinated online control of system voltage and reactive power on the basis of developing models, methods, and a control system, by integrating traditional numerical techniques with the fuzzy logic technology. An approach associated with experimental design is considered to construct diverse types of sensitivity indices, which serve as the basis for multi-attribute evaluating efficiency of control actions and, therefore, for forming rules included in knowledge base. Questions of the construction and tuning of linguistic variables as well as rational implementation of fuzzy logic procedures are discussed.
The problem of full order guaranteed cost H/sub /spl infin// filtering design for discrete-time systems with polytope type uncertainty is investigated. The main purpose is to obtain a stable linear filter such that th...
详细信息
The problem of full order guaranteed cost H/sub /spl infin// filtering design for discrete-time systems with polytope type uncertainty is investigated. The main purpose is to obtain a stable linear filter such that the filtering error system remains quadratically stable within a prespecified H/sub /spl infin// attenuation level. Necessary and sufficient conditions for the existence of such robust filter are provided in terms of linear matrix inequalities (LMIs), which can be efficiently solved by means of high performance convex optimization procedures with global convergence assured. Moreover, as an improvement, the filter dynamics can be constrained to some specific regions inside the unit open disk.
The problem of robust energy-to-peak filtering for linear systems with convex bounded uncertainties is investigated in this paper. The main purpose is to design a full order stable linear filter that minimizes the wor...
详细信息
The problem of robust energy-to-peak filtering for linear systems with convex bounded uncertainties is investigated in this paper. The main purpose is to design a full order stable linear filter that minimizes the worst-case peak value of the filtering error output signal with respect to all bounded energy inputs, in such way that the filtering error system remains quadratically stable Necessary and sufficient conditions arc formulated in terms of Linear Matrix Inequalities - LMIs, for both continuous- and discrete-time cases.
暂无评论