model predictive control – Page 2

Embedded Online Optimization for Model Predictive Control at Megahertz Rates

Published: 2013/03/05

George A. Constantinides

Parallel Algorithms, Quadratic Programming embedded platforms, model predictive control, optimization algorithms

Faster, cheaper, and more power efficient optimization solvers than those currently offered by general-purpose solutions are required for extending the use of model predictive control (MPC) to resource-constrained embedded platforms. We propose several custom computational architectures for different first-order optimization methods that can handle linear-quadratic MPC problems with input, input-rate, and soft state constraints. We … Read more

Constraint Reduction with Exact Penalization for Model-Predictive Rotorcraft Control

Published: 2012/02/01

Applications - Science and Engineering, Control Applications, Quadratic Programming affine-scaling, constraint reduction, exact penalty functions, interiorpoint methods, model predictive control, mpc, quadratic programming, receding horizon control, rhc, warm-start

Model Predictive Control (also known as Receding Horizon Control (RHC)) has been highly successful in process control applications. Its use for aerospace applications has been hindered by its high computational requirements. In the present paper, we propose using enhanced primal-dual interior-point optimization techniques in the convex-quadratic-program-based RHC control of a rotorcraft. Our enhancements include a … Read more

Dynamic Network Utility Maximization with Delivery Contracts

Published: 2007/09/30, Updated: 2007/10/01

Stephen Boyd

Nikolaos Trichakis

Argyrios Zymnis

Network Optimization distributed optimization, model predictive control, network utility maximization

We consider a multi-period variation of the network utility maximization problem that includes delivery constraints. We allow the flow utilities, link capacities and routing matrices to vary over time, and we introduce the concept of delivery contracts, which couple the flow rates across time. We describe a distributed algorithm, based on dual decomposition, that solves … Read more

Nonlinear Model Predictive Control via Feasibility-Perturbed Sequential Quadratic Programming

Published: 2002/08/15, Updated: 2003/05/29

J B Rawlings

M. J. Tenny

Stephen Wright

Chemical Engineering, Constrained Nonlinear Optimization, Control Applications model predictive control, nonlinear programming, sequential quadratic programming

Model predictive control requires the solution of a sequence of continuous optimization problems that are nonlinear if a nonlinear model is used for the plant. We describe briefly a trust-region feasibility-perturbed sequential quadratic programming algorithm (developed in a companion report), then discuss its adaptation to the problems arising in nonlinear model predictive control. Computational experience … Read more

Multiscale Concepts for Moving Horizon Optimization

Published: 2001/03/19

Applications - Science and Engineering adaptive refinement, dynamic programming, ill--posed problem, iterative solvers, model predictive control, multiscale concept, on--line computation, optimal control, receding horizon estimation, wavelets

In chemical engineering complex dynamic optimization problems formulated on moving horizons have to be solved on-line. In this work, we present a multiscale approach based on wavelets where a hierarchy of successively, adaptively refined problems are constructed.They are solved in the framework of nested iteration as long as the real-time restrictions are fulfilled. To avoid … Read more