This article studies the accuracy of two versions of Kydland and Prescott's (1980, 1982) procedure for approximating optimal decision rules in problems in which the objective fails to be quadratic and ...

This is a preview. Log in through your library . Abstract The basic properties are stated of a linear programming problem with a linear objective function having quadratic constraints whose associated ...

Abstract: In this article, we analyze the stability properties of stochastic linear systems in closed loop with an optimal policy that minimizes a discounted quadratic cost in expectation. In ...

Iterative Linear Quadratic Regulator (iLQR) is an optimal control algorithm commonly used to solve trajectory optimization problems for nonlinear systems. This repository offers a pure C++ ...

Comparison of PID, LQR Linear Quadratic Regulator, SMC Sliding Mode Controller, MRAC-Model Reference Adaptive Controller for Autonomous Car Trajectory Tracking This project compares four commonly used ...

All quadratic functions have the same type of curved graphs with a line of symmetry. The graph of the quadratic function \(y = ax^2 + bx + c \) has a minimum turning point when \(a \textgreater 0 \) ...