The analysis of variable-structure systems in the sliding mode yields the concept of equivalent control, which leads naturally to a new method for determining the zeros and zero directions of square linear multivariab...
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The analysis of variable-structure systems in the sliding mode yields the concept of equivalent control, which leads naturally to a new method for determining the zeros and zero directions of square linear multivariablesystems. The analysis presented is conceptually easy and computationally attractive.
This paper presents a novel training algorithm for computationally intelligent architectures, whose outputs are differentiable with respect to the adjustable design parameters. The algorithm combines the gradient desc...
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This paper presents a novel training algorithm for computationally intelligent architectures, whose outputs are differentiable with respect to the adjustable design parameters. The algorithm combines the gradient descent technique with the variable-structure-systems approach. The combination is performed by expressing the conventional weight update rule in continuous time and application of sliding-mode control method to the gra- dient-based training procedure. The proposed combination therefore exhibits a degree of robustness with respect to the unmodeled multivariable internal dynamics of gradient descent and to the environmental disturbances, With conventional training procedures, the excitation of this dynamics during a training cycle can lead to instability, which may be difficult to alleviate due to the multidimensionality of the solution space and the ambiguities on the free design parameters, such as learning rate or momentum coefficient. This paper develops a heuristic that a computationally intelligent system, which may be a neural network architecture or a fuzzy inference mechanism, can be trained such that the adjustable pa- rameter values are forced to settle down (parameter stabilization) while minimizing an appropriate cost function (cost optimization), The proposed approach is applied to the control of a robotic arm in two different ways. In one, a standard fuzzy system architecture is used, whereas in the second, the arm is controlled by the use of a multilayer perceptron, In order to demonstrate the robustness of the approach presented, a considerable amount of observation noise and varying payload conditions are also studied.
A new definition of well-posedness, called generalized approximability, is introduced for variable-structure control systems described by ordinary differential equations. This definition isolates the following basic p...
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A new definition of well-posedness, called generalized approximability, is introduced for variable-structure control systems described by ordinary differential equations. This definition isolates the following basic property: states fulfilling only approximately the sliding condition converge toward some well-defined sliding state, as the perturbations preventing exact sliding disappear. Approximability rules out ambiguous systems, which defy successful implementation of sliding feedback controls. The existence of the equivalent control is not required. It is shown that approximability is in essence a form of uniqueness of the Filippov sliding state. Explicit criteria for approximability are obtained.
A class of nonlinear systems expressed by nonlinear differential equations with uncertain parameters is investigated. The nonlinear model is transformed into a linear model with parameters varying in definite interval...
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A class of nonlinear systems expressed by nonlinear differential equations with uncertain parameters is investigated. The nonlinear model is transformed into a linear model with parameters varying in definite intervals. variable-structure control in sliding mode is designed. The sliding mode is realized with respect to an auxiliary variable. The theoretical results are proved by computer simulations of the designed variable-structure control in sliding mode for nonlinear fermentation processes.
The design of multivariable adaptive model-following control systems is described using the theory of variable-structure systems (VSS). Both the model plant transient and the error response transient can be specified ...
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The design of multivariable adaptive model-following control systems is described using the theory of variable-structure systems (VSS). Both the model plant transient and the error response transient can be specified in advance. The discontinuous control enforces sliding motion on switching hyperplanes in the error state space, and the dynamic response is insensitive to certain parameter variations and disturbances. The design is straightforward and requires little computational effort.
This paper proposes a new mathematical model called SIRDQ considering control laws for the government actions in order to reduce the quarantine periods. The proposed control laws guarantee the regulation of the effect...
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This paper proposes a new mathematical model called SIRDQ considering control laws for the government actions in order to reduce the quarantine periods. The proposed control laws guarantee the regulation of the effective number of reproduction to a desired value, which is directly related to the propagation of the epidemic model. We consider two control strategies based on first-order sliding mode and super-twisting algorithm due to its robustness with respect to parametric uncertainties and disturbances, as found in epidemiological models. The stability analysis of the closed-loop system is rigorously presented. Simulations show that the employed control strategies assure better levels of isolation to be adopted.
A new adaptive fuzzy-logic controller is proposed. The rule base of the fuzzy system is tuned on-line based on a variablestructure algorithm. Both state and output feedback versions of the controller are derived. The...
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ISBN:
(纸本)078037620X
A new adaptive fuzzy-logic controller is proposed. The rule base of the fuzzy system is tuned on-line based on a variablestructure algorithm. Both state and output feedback versions of the controller are derived. The output feedback controller utilizes the high gain observer. Stability of both versions of the controller is proved. Simulation results demonstrate a promising performance.
In this paper, we introduce some analysis tools for switched and hybrid systems, We first present work on stability analysis, We introduce multiple Lyapunov functions as a tool for analyzing Lyapunov stability and use...
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In this paper, we introduce some analysis tools for switched and hybrid systems, We first present work on stability analysis, We introduce multiple Lyapunov functions as a tool for analyzing Lyapunov stability and use iterated function systems (IFS) theory as a tool for Lagrange stability, We also discuss the case where the switched systems are indexed by an arbitrary compact set, Finally, we extend Bendixson's theorem to the case of Lipschitz continuous vector fields, allowing limit cycle analysis of a class of "continuous switched" systems.
This paper presents a design method of decentralized systems with informational connection. The informational connection in this paper denotes an event link which establishes a signal links among physical controlled p...
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This paper presents a design method of decentralized systems with informational connection. The informational connection in this paper denotes an event link which establishes a signal links among physical controlled plants via a communication network. A dynamic transition of an informational connection among decentralized systems is considered and the mathematical structures are discussed using a concept of eigenvalues and eigen-connections over the Galois field GF(2). The global system has variable-structure characteristics due to the transition of informational connection. Examples of decentralized variable-structure systems are shown. In industry, there are many engineering systems that have a dynamic transition of an informational connection. The mathematical model would be useful for analysis and synthesis of various informationally connected systems.
A special class of parametric feedback is considered. This feedback makes the system coordinates move inside a certain domain. A link between the parametric feedback under consideration and the one used in variable-st...
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A special class of parametric feedback is considered. This feedback makes the system coordinates move inside a certain domain. A link between the parametric feedback under consideration and the one used in variable-structure systems is discussed.
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