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In this paper we develop a prescriptive framework for the stabilising controller design based on approximate discrete-time models for nonlinear Networked Control Systems (NCSs) with time-varying sampling intervals, large time-varying delays and packet dropouts.
First, a unified controller design framework for the asynchronous control of switched positive systems is presented using linear programming and matrix transformation, where the "unified" property means that most of the asynchronous control problems of positive switched systems can be solved by employing the presented controller framework.
Dynamic games played on game graphs with omega-regular winning conditions provide the theoretical framework for the study of controller synthesis and multi-process verification.
The paper presents a new framework for the design of controllers for highly non-linear systems, the framework is based on classical state space control theory combined with a non-linear finite element model and a non-linear optimization scheme for identification of the feed-back gain factors.
In this study, we proposed a metaheuristic-based framework for dynamic controller allocation for the 5th generation of mobile technology (5G).
This paper presents a general framework for the design of linear controllers for linear systems subject to time-domain constraints.
In this work we introduce a general framework for the development of linear controllers for nonlinear systems based on nonlinearity measures.
This allows, the T S fuzzy model-based controller to use simple linear control techniques providing a systematic framework for the design of a state feedback controller.
The uncertain system is characterized in a form that provides a framework for robust controller design.
5.10.1 Catalyst Model View Controller framework for the Perl language.
This note presents a framework for the design of output feedback controllers that utilize bursts to control asynchronous sequential machines with critical races.
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