CONTROLLER design is more troublesome in aerospace systems due to, inter alia, diversity
of mission platforms, convoluted nonlinear dynamics, predominantly strict mission and …

While model predictive control (MPC) is the industrially preferred method for advanced
control in the process industries, it has not found much use in consumer products and safety …

Alternative and more efficient computational methods can extend the applicability of model
predictive control (MPC) to systems with tight real-time requirements. This paper presents a …

Trajectory tracking of an unmanned ground vehicle (UGV) is essential due to its extensive
construction, agriculture, and military applications. In this paper, we propose an efficient …

In this study, model predictive control with softening constraints is applied to a non‐
holonomic wheeled mobile robot for trajectory tracking in the presence of external …

We study the computational complexity certification of inexact gradient augmented
Lagrangian methods for solving convex optimization problems with complicated constraints …

In this paper we propose a parallel coordinate descent algorithm for solving smooth convex
optimization problems with separable constraints that may arise, eg in distributed model …

Purpose-The purpose of this paper is to reduce the difficulty of model predictive control
(MPC) deployment on FPGA so that researchers can make better use of FPGA technology …

Over the past 20 years, great strides have been made in the real-time implementation of
linear MPC on FPGA devices. Starting from initial work, which demonstrated the benefits of …

We present the design of an analog circuit which solves linear programming (LP) or
quadratic programming (QP) problem. In particular, the steady-state circuit voltages are the …