Repetitive control (RC) is found to be a high-performance control scheme for constant-voltage constant-frequency (CVCF) pulsewidth-modulated (PWM) converters to eliminate output total harmonic distortion. In this pape...
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In this paper, we provide the complete solution to the reconfigurable control problem after actuator faults in linear dynamical systems by means of disturbance decoupling approaches. The recovery of the closed-loop in...
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In this paper, we provide the complete solution to the reconfigurable control problem after actuator faults in linear dynamical systems by means of disturbance decoupling approaches. The recovery of the closed-loop internal stability and the exact and approximate recovery of nominal tracking and performance are our main reconfiguration goals. We state necessary and sufficient conditions for the solvability of these problems. The approximate approach broadens the scope of potential applications. A thermofluid process is used to illustrate the exact and approximate methods.
Currently employed manufacturing systems are very often historically grown systems that can comprise several different technologies of control software. Linking these diverse control subsystems in the manufacturing do...
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ISBN:
(纸本)9781424427277
Currently employed manufacturing systems are very often historically grown systems that can comprise several different technologies of control software. Linking these diverse control subsystems in the manufacturing domain is therefore of vital importance to ensure the system's functionality. In this paper we introduce an agent-based approach with agents that integrate a high level control layer and a low level control layer using a generic interface. Three use-cases are presented that illustrate the application of existing low level control solutions. The shown communication concept offers a feasible way for integrating these different types of low level control in a multi-agent system for the manufacturing domain. This allows to reduce the domain's complexity and to handle its heterogeneous nature.
This paper investigates the problem of H infin fuzzy control of nonlinear systems under unreliable communication links. The nonlinear plant is represented by a Takagi--Sugeno (T-S) fuzzy model, and the control strat...
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This paper investigates the problem of H infin fuzzy control of nonlinear systems under unreliable communication links. The nonlinear plant is represented by a Takagi--Sugeno (T-S) fuzzy model, and the control strategy takes the form of parallel distributed compensation. The communication links existing between the plant and controller are assumed to be imperfect (that is, data packet dropouts occur intermittently, which appear typically in a network environment), and stochastic variables satisfying the Bernoulli random binary distribution are utilized to model the unreliable communication links. Attention is focused on the design of H infin controllers such that the closed-loop system is stochastically stable and preserves a guaranteed H infin performance. Two approaches are developed to solve this problem, based on the quadratic Lyapunov function and the basis-dependent Lyapunov function, respectively. Several examples are provided to illustrate the usefulness and applicability of the developed theoretical results.
To solve the weapon network system optimization problem against small raid objects with low attitude,the concept of direction probability and a new evaluation index system are *** calculating the whole damaging probab...
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To solve the weapon network system optimization problem against small raid objects with low attitude,the concept of direction probability and a new evaluation index system are *** calculating the whole damaging probability that changes with the defending angle,the efficiency of the whole weapon network system can be subtly *** such method,we can avoid the inconformity of the description obtained from the traditional index *** new indexes are also proposed,*** index,overlap index and cover index,which help manage the relationship among several *** normalizing the computation results with the Sigmoid function,the matching problem between the optimization algorithm and indexes is well ***,the algorithm of improved marriage in honey bees optimization that proposed in our previous work is applied to optimize the embattlement *** is carried out to show the efficiency of the proposed indexes and the optimization algorithm.
The paper consider some special topics related to controllability of linear switching systems. Consequences of the normal controllability property and controllability under sampling are investigated. Both problems are...
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The paper consider some special topics related to controllability of linear switching systems. Consequences of the normal controllability property and controllability under sampling are investigated. Both problems are related to the existence of a finite switching sequence with certain properties. It is shown that completely controllable linear switching systems, regardless to the sign of the allowed controls, contains a completely controllable linear time-varying system. The (closed-loop) stabilizability problem of controlled linear switched systems is also revisited. It is shown that the completely controllable sampled switching system can be robustly stabilized (against disturbances and model uncertainties) with suitable linear feedbacks and a periodic switching strategy.
This paper presents a wavelets hybrid neural network (WHNN) for harmonic source recognition with voltage-current (V-I) characteristics. With time-domain technique, WHNN is applied in the application of harmonic source...
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This paper presents a wavelets hybrid neural network (WHNN) for harmonic source recognition with voltage-current (V-I) characteristics. With time-domain technique, WHNN is applied in the application of harmonic sources classification. The proposed hybrid network is a two-subnetwork architecture, consisting of self-organizing feature lattice network (SOFL) and wavelet layer connected in cascade. The first layer Morlet wavelets, as an extractor, are used to extract the features from voltages and currents, and SOFL is employed to classify the various feature patterns including electronic devices, DC/AC motor, and electric arc furnaces (EAFs) in second layer. The computational results have show that With the time-domain technique, the effectiveness of the proposed model is demonstrated by tests. The recognition results of different harmonic sources show the computational efficiency and accurate recognition.
This paper studies the problem of robust output tracking control for the homing phase of autonomous spacecraft *** on the C-W equations,parameter uncertainty and the output tracking requirement,a new relative dynamic ...
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This paper studies the problem of robust output tracking control for the homing phase of autonomous spacecraft *** on the C-W equations,parameter uncertainty and the output tracking requirement,a new relative dynamic model is developed,and a robust guaranteed cost output tracking control problem is ***,by a Lyapunov approach,the controller design is cast into a convex optimization problem subject to linear matrix inequalities(LMIs) *** the obtained controllers,the homing phase can be completed with a guaranteed cost,and the poles of the closed-loop system are located within a desire *** illustrative example is provided to show the effectiveness of the proposed controller design method.
This article revisits the problem of H∞ filtering for discrete-time systems with a time-varying delay in the state and parameter uncertainties residing in a polytope. By utilising the polynomially parameter-dependent...
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This article revisits the problem of H∞ filtering for discrete-time systems with a time-varying delay in the state and parameter uncertainties residing in a polytope. By utilising the polynomially parameter-dependent idea, a new filter design procedure is proposed, which formulates the existence of admissible robust H∞ filters into a set of linear matrix inequalities. These conditions are developed based on homogeneous polynomially parameter-dependent matrices of an arbitrary degree. As the degree grows, test of increasing precision is obtained providing less conservative filter designs. It is established that the results in the quadratic framework (that entail fixed matrices for the entire uncertainty domain), and the linearly parameter-dependent framework (that use linear convex combinations of matrices) are special cases of the proposed conditions for the zeroth degree and the first degree, respectively. Moreover, in addition to parameter dependence, the obtained conditions are also dependent on both the upper and lower bounds of the delay, which is obtained by using advanced techniques for achieving delay dependence. Several numerical examples are given to illustrate the effectiveness and advantage of the proposed filter design methods. [ABSTRACT FROM AUTHOR]
A method of studying hydrodynamic coefficient's nonlinear adaptive intelligent model was proposed based on ship motion in the sea all-weather situation. On the basis of microtome section theory, giving the hydrody...
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A method of studying hydrodynamic coefficient's nonlinear adaptive intelligent model was proposed based on ship motion in the sea all-weather situation. On the basis of microtome section theory, giving the hydrodynamic expression of different wave direction. Using optimal stopping method to optimize the radial basis function(RBF), through simulate and research get the real-time controlling model of ship longitudinal motion based on water pool experiment and the analysis of hydrodynamic coefficient of the 442T ship representative sea situation. This model can on-line compute hydrodynamic coefficients of ship longitudinal motion which has irrespective of frequency in any direction, speed and sea situation, so that we can get the on-line all-weather controlling model of ship longitudinal motion. Simulation results indicate that nonlinear coefficient model can be quickly and accurately established by using optimal stopping algorithm of radial basis function. research on intelligent model was done by different and columns methods: full-samples RBF model, which the maximal relative error is 9.1289% under the arbitrary ocean condition degree, navigating speed and navigate angle; the model's simulation characteristic get better after classified database, the maximal relatively error of which was 7.9467%; the maximal relatively error down to 4.7873 % because of gradient algorithm introduced and the mixed intelligent model was established in three class by classified data, the maximal relatively error of which was 0.9845%.
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