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Analog Neural Network for Multivariable Algebraic Loops in Constrained Control
(2015)
An analog neural network is designed to efficiently solve the proposed dynamic multivariable algebraic loop representation of a constrained control problem. The neural network is formulated by introducing dynamics into the ...
Dynamic multivariable algebraic loop solver for input-constrained control
(IEEE Control Systems Society, 2021-07-07)
Analog circuit for real-time optimization of constrained control
(IEEE, 2016-07)
Linear multivariable antiwindup control design: Singular perturbation approach
(Elsevier, 2017)
We develop a simple procedure for multivariable antiwindup design and implementation using the theory of singular perturbations. By artificially enforcing two time-scale separation in the antiwindup loop, through the ...
Programmable logic controller for embedded implementation of input-constrained systems
(Elsevier, 2017-07)
Programmable logic controllers (PLCs) have the benefit of being able to withstand a variety of environments while maintaining high reliability compared to computers and other controllers. Traditionally, PLCs have been used ...