The paper presents a new approach to reconstruction of audio signals. First, a general reconstruction formula is derived allowing one to estimate unknown samples from the known (neighboring) ones. Then it is shown tha...
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The paper presents a new approach to reconstruction of audio signals. First, a general reconstruction formula is derived allowing one to estimate unknown samples from the known (neighboring) ones. Then it is shown that the unknown excitation appearing in the analytical reconstruction formula can be replaced with the natural excitation waveform extracted from the available portions of the signal.
In this paper, an adaptive decentralized controller is presented to attenuate the transversal vibration of a flexible cablestayed bridge induced by seismic excitation, in which only local sensor information has been u...
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This paper investigates the practicality problem of the equivalent control method for nonlinear neutral type variable structure control system (VSCS) with time-delays. Existence of the sliding mode for the system is g...
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This paper investigates the practicality problem of the equivalent control method for nonlinear neutral type variable structure control system (VSCS) with time-delays. Existence of the sliding mode for the system is given, and the conditions under which the sliding process has nothing to do with the external disturbance and parameter perturbation are obtained. At last, the synthetical method of the VSCS is provided and illustrated by an example of chemical process.
Many evolutionary processes, particularly some biological systems, exhibit impulsive dynamical behaviors, and they can be well described by impulsive Hopfield neural networks. This paper formulates and studies a model...
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Many evolutionary processes, particularly some biological systems, exhibit impulsive dynamical behaviors, and they can be well described by impulsive Hopfield neural networks. This paper formulates and studies a model of impulsive Hopfield neural networks. Several fundamental issues such as global exponential stability, existence, and uniqueness of equilibria of such neural networks are established.
A new generalized predictive control (GPC) algorithm is presented, which makes use of the concept of output end-point weightings. The aim of the algorithm is a reduced computational burden with respect to the state en...
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A new generalized predictive control (GPC) algorithm is presented, which makes use of the concept of output end-point weightings. The aim of the algorithm is a reduced computational burden with respect to the state end-point weighted GPC and a relaxation of the infinite output weighting of constrained receding horizon predictive control. The new output end-point weighted GPC algorithm is developed using the polynomial approach. After a proof of nominal stability the relation of Kalman filtering and predictive control is derived. A final simulation of a benchmark example emphasizes the reduced computational burden and the enhanced stochastic tracking capability.
The main objective of this contribution is a new development of the continuous-time generalised predictive control (CGPC) resulting in a Youla-based CGPC design procedure for both minimumphase and nonminimum-phase unc...
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The main objective of this contribution is a new development of the continuous-time generalised predictive control (CGPC) resulting in a Youla-based CGPC design procedure for both minimumphase and nonminimum-phase uncertain SISO systems. The derived design procedure consists of two steps. In the first step nominal stability and nominal performance of the control system are established by using a fully analytical design methodology, based on a collection of closed-loop prototype characteristics with definite time-domain specifications. In the second step, the primary structure of the CGPC controller is suitably enriched by `Youla' blocks guaranteeing that the resulting CGPC control system has the required robustness properties, i.e. robust stability and robust performance.
In this paper, the selection of H/sub /spl infin// weighting functions for general practical applications is investigated. Uncertainty weighting functions for typical low-order plants with parametric uncertainties are...
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In this paper, the selection of H/sub /spl infin// weighting functions for general practical applications is investigated. Uncertainty weighting functions for typical low-order plants with parametric uncertainties are derived. It is shown that H/sub /spl infin// weighting function for a general SISO plant can be obtained by the combination of these elementary low-order plants. Weighting functions of reflecting other system specifications in H/sub /spl infin// design are also investigated. Explicit weighting function expressions are given to address position and rate limits of an actuator, tracking error performance, overshoot, etc. Finally, the proposed methods are demonstrated by the roll-angle control design of a laboratory-scale model of a vertical take-off aircraft via simulation and real-time control.
Repetitive processes are a distinct class of 2D systems of both theoretic and practical interest. For example, they arise in the study of industrial processes such as long-wall coal cutting operations and also in the ...
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Repetitive processes are a distinct class of 2D systems of both theoretic and practical interest. For example, they arise in the study of industrial processes such as long-wall coal cutting operations and also in the modeling of classes of iterative learning control schemes. This paper describes the development of MATLAB based tools for control related analysis/controller design in the case of so-called discrete linear repetitive processes with particular emphasis on the iterative learning control application. Some areas for short to medium term further development are also briefly noted.
This paper reports further development of the so-called ID Lyapunov equation based approach to the stability analysis of differential linear repetitive processes. In particular, it is shown that this approach leads to...
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This paper presents a new real-time architecture for motion control of industrial robots. The new control system obtained has two main advantages: first it provides a total open control architecture and the second adv...
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This paper presents a new real-time architecture for motion control of industrial robots. The new control system obtained has two main advantages: first it provides a total open control architecture and the second advantage is the simplicity and the interactivity of the platform developed. Experimental evaluation of a passivity-based control scheme shows the benefits of the architecture which is unique in the sense that open and advanced control can be combined with built-in safety logic as required in industrial applications.
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