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Performance results of both controllers subject to reference tracking, constraints and disturbance handling are presented.
Nonsmooth optimization is used to design feedback controllers subject to closed-loop performance specifications both in time and frequency-domains.
This paper presents an improved approach for the design of linear parameter-varying controllers subject to uncertain parameter measurements.
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Experimental realization of the designed H∞-LMI control evidences the good performance of the controller subject to external perturbation too.
This paper presents a novel control design technique in order to obtain a Guaranteed Cost Fuzzy Controller subject to constraints on the input channel.
As part of an overall objective to maintain safe and efficient air traffic flow, the pilot is required to comply with requests and instructions directed to him by the controller, subject to the pilot's ultimate responsibility for the safety of the aircraft.
A key feature of the proposed analysis procedure is that it allows the designer to consider the realization of the internal model controller subject to structural constraints.
In general, however, finding a norm-minimizing controller subject to a structural constraint is not a convex optimization problem, and in many cases is intractable.
The particle swarm optimisation algorithm is proposed as a new method to design a model-based predictive greenhouse air temperature controller subject to restrictions.
The particle swarm optimisation algorithm is proposed as a new method to design a model based predictive controller subject to restrictions.
In this paper an approach for designing an optimum gain of Proportional integral derivative (PID) controller subject to Linear matrix inequality (LMI) constraints for load frequency regulation of single area and multi-area power system is presented.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com