# We offer the best optimal control assignment help.

Do you find it hard to do your optimal control assignment to completion, or is it simply complicated for you? Whether your homework deadline is just some hours away or it is a long-term assignment, you need not panic because our online optimal control homework helpers are experienced enough to handle either of them professionally. We know that plagiarism is a severe offense, and hence we do all your assignments from scratch. Should you doubt the quality of the optimal control assignment help we offer, we will always send you samples of our previous tasks. In just a few mouse clicks, hire our online homework help services and expect high-quality solutions.

The exhaustive list of topics in Optimal Control in which we provide Help with Homework Assignment and Help with Project is as follows:

• Effects of scaling or adding a constant to an objective function and understanding of constrained and unconstrained optimization problems.
• Concept of Lagrange multipliers and its application to unconstrained optimization problem
• Steepest descent method.
• Newton's method.
• Davison-Fletcher-Powell method.
• Exterior point method.
• Numerical examples are considered to illustrate the algorithmic steps of the above methods.
• Solution of constrained minimization problems using Karush-Kuhn-Tucker (KKT) necessary and sufficient conditions.
• Numerical examples are considered to illustrate the technique.
• Understanding the following terms convex sets,
• Convex and concave functions
• Properties of convex function
• Definiteness of a matrix and test for concavity of function.
• Solution of quadratic programming problems using KKT necessary condition
• Basic concept of interior penalties and solution of convex optimization problem via interior point method.
• Numerical examples are considered to illustrate the techniques mentioned
• Linear programming: Simple method
• Matrix form of the simplex method.
• Two-phase simplex method
• Primal and dual problem: Determination of primal solution from its dual form solution and vice-versa
• Properties of dual problems and sensitivity analysis.
• Basic concept of multi-objective optimization problem and some definitions.
• Solution of multi-objective optimization problem and illustrate the methodoly with numerical examples.
• Concept of functional
• Variational problems and performance indices.
• Euler-Lagrange equation to find the extremal of a functional.
• Transversality condition
• Application of variation approach to control problems.
• Optimal solution of LQR problem
• Different techniques for solution of algebraic Riccati equation.
• Frequency domain interpretation of LQR problem.
• Stability and robustness properties of LQR design.
• Optimal control with constraints on input.
• Optimal saturating controllers.
• Dynamic programming principle of optimality.
• Concept of time optimal control problem and mathematical formulation of problem.
• Solution of time-optimal control problem and explained with a numerical example.
• Concept of system and signal norms.
• Small-gain theorem
• Physical interpretation of H8norm.
• Computation of H8 Norm, statement of H8 control problem.
• H8 control problem: Synthesis.