Browsing by Author "Adegbege, Ambrose A."
Now showing items 1-20 of 29
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Analog circuit for real-time optimization of constrained control
(IEEE, 2016-07) -
Analog circuits for embedded model predictive control
(2021)Embedded analog circuits have been looked in to due to their ability to efficiently and accurately perform computations relating to control. However, there has yet to be a comprehensive study of control implementations of ... -
Analog circuits for solving quadratic programming problems
(2021)This work focuses on creating an analog circuit using CMOS technology to aid in solving quadratic programming problems (QPP). Circuits using op-amps and operational transconductance amplifiers (OTA) to solve QPPs were also ... -
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 ... -
Constrained primal-dual dynamics for QCQP with applications to economic dispatch
(Elsevier, 2017)We develop concise primal-dual dynamics for a class of Quadratically Constrained Quadratic Programming problems in power system optimization. Using a constrained La-grangian reformulation of the problem and the classical ... -
Dynamic multivariable algebraic loop solver for input-constrained control
(IEEE Control Systems Society, 2021-07-07) -
An embedded FPGA architecture for real-time Model Predictive Control
(Elsevier, 2020-07)We develop a custom hardware architecture for real-time implementation of embedded Model Predictive Control (MPC) on a Field Programmable Gate Array (FPGA). We propose a novel modular framework that allows for easy and ... -
Fast Implementation Algorithm for Multivariable Algebraic Loops
(2015)An important class of nonlinear control systems can be represented as the feedback interconnection of two parts: a linear time-invariant system and a block of decentralized nonlinearities. When the linear time-invariant ... -
Fast iterative solver for embedded model predictive control
(2021)We worked on an iterative first-order gradient method designed for the efficient implementation of Model Predictive Control (MPC). We also developed a new algorithm intended to simulate the performance of the proportional-integral ... -
Field programmable gate array (FPGA) for embedded optimal control
(2017)Embedded control for resource-constrained, safety-critical and cyber-physical systems has recently received much interest from the engineering community. This work focuses on fast implementation of embedded control algorithms ... -
A Gauss–Seidel type solver for the fast computation of input-constrained control systems
(Elsevier, 2016-11) -
Hardware Synthesis of Model Predictive Control on a Programmable Logic Controller
(2020)Programmable Logic Controllers (PLC) are a wide-spread tool used in the control of industrial processes. Although they are associated with simple computations and PID control, the PLC has been pushed to the limits in recent ... -
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 ... -
Polynomially bounded linear complementarity problem-based solvers for Model Predictive Control
(Elsevier, 2021-12)We present a computational complexity certificate for a special type of Linear Complementarity problem (LCP) arising in Constrained Linear Quadratic Regulator (LQR) based Model Predictive Control (MPC). By exploiting 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 ... -
Programmable logic controller for fast model predictive control
(2017)This project proposes that a low cost programmable logic controller (PLC) for advanced control applications such as model predictive control (MPC) problems. This PLC will use a successive overrelaxation (SOR)-like method ...
