Model Predictive Control (MPC) has begun to receive significant attention as a tool in real-time solver applications, as the betterment of technology and algorithms have allowed it to have a much faster operation time. ...

Very large scale integration (VLSI) is the process of combining thousands of resistors on a single integrated chip. VLSI technology is now more prevalent than ever as all our devices utilize integrated chips. This project ...

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 ...

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 ...

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 ...

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 ...

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 ...

This project proposes an iterative first-order gradient method for solving convex quadratic programming problems, which involve the optimization of a quadratic function with multiple variables subject to linear constraints. ...

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 ...