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.
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.
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.
The LMS algorithm forms the core of a number of adaptive control schemes. It has on one hand provided certain degree of robustness to these algorithms but on the other hand its convergence rate is notoriously slow. We...
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The LMS algorithm forms the core of a number of adaptive control schemes. It has on one hand provided certain degree of robustness to these algorithms but on the other hand its convergence rate is notoriously slow. We propose a method to initialize the LMS algorithm which dramatically shortens its adaptation period. We also prove that under certain condition this initialization can be computed without explicit knowledge of either the reference or noise spectrum. Although the work is illustrated using the filtered-X scheme, this idea can also be applied to other similar schemes. Two successful experiments starting from black-box identification to real-time control have verified the effectiveness of this idea.
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.
Embedded controllers in safety critical applications rely on the highest of software quality standards. Testing is performed to ensure that requirements and specifications are met for all the different environments in...
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Embedded controllers in safety critical applications rely on the highest of software quality standards. Testing is performed to ensure that requirements and specifications are met for all the different environments in which the controllers operate. This paper describes the architecture of a system that uses a relational database for tracking tests, requirements, and configurations. The relational sub-schemas are integrated in a data warehouse and allow traceability from requirements to tests. A normalized representation of test cases enables the system to reason about the test topologies and is used for constructing clusters of similar tests. A representative test from each cluster can in turn provide a rapid estimation, of the software's requirement coverage and quality.
The foundation of computer vision system for testing, controlling and adjusting of the TV sets is a mathematical model of distortion of the TV picture. Adequate accurate model description parameters are given by polyn...
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The foundation of computer vision system for testing, controlling and adjusting of the TV sets is a mathematical model of distortion of the TV picture. Adequate accurate model description parameters are given by polynomial of order eight and knowledge based nonlinear, cross coupled relationships between command variables for adjusting of the TV sets and coefficients of polynomial.
This paper consists of two parts. In the first part, the problem of controller design for linear continuous systems with prespecified∞ norm, circular pole and steady-state variance constraints is considered. Furtherm...
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ISBN:
(纸本)9783952426906
This paper consists of two parts. In the first part, the problem of controller design for linear continuous systems with prespecified∞ norm, circular pole and steady-state variance constraints is considered. Furthermore, in the second part, the problem of performance robust controller design for linear continuous uncertain systems with variance and circular pole constraints is studied. Effective, algebraic, modified Riccati equation approaches are developed to solve the addressed problems. Numerical examples are provided to show the usefulness and applicability of the present approaches.
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