We consider the control of interacting subsystems whose dynamics and constraints are decoupled, but whose state vectors are coupled non-separably in a single cost function of a finite horizon optimal control problem. For a given cost structure, we generate distributed optimal control problems for each subsystem and establish that a distributed receding horizon control implementation is stabiliz...

In this work the problem of optimal input design (OID) in a receding-horizon framework for online parameter estimation is solved. The designed optimum input is used for dynamic experiment and subsequent estimation of parameters. A fuel cell experiment design and parameter estimation problem is investigated through the proposed approach. Some of the issues related to the application of the propo...

Receding horizon control is used to maximize the productivity of emulsion polymerization processes. The control strategy is adapted for controlling multivariable systems. Two process inputs, the monomer flow rate and the reactor temperature, were manipulated in order to optimize process productivity. The controller performance was validated in the presence of modeling errors. c © 2007 Elsevier ...

Decoding of convolutional codes poses a significant challenge for coding theory. Classical methods, based on e.g. Viterbi decoding, suffer from being computationally expensive and are restricted therefore to codes of small complexity. Based on analogies with model predictive optimal control, we propose a new iterative method for convolutional decoding that is cheaper to implement than establish...

supported by the Fonds zur Förderung der wissenschaftlichen Forschung under SFB 03 ,,Optimierung und Kontrolle " .

An approach for the optimal control of both velocity and torque split of a parallel hybrid electric vehicle with traffic preview is presented in this paper. The optimal controller is analytically derived using Pontryagin’s Minimum Principle. The optimal velocity and torque split trajectories developed are then repeatedly recalculated in a receding horizon fashion over drive cycles to assess the...

This paper presents a receding horizon controller (RHC) that can be used to design trajectories for an aerial vehicle flying through a three dimensional terrain with obstacles and no-fly zones. To avoid exposure to threats, the paths are chosen to stay as close to the terrain as possible, but the vehicle can choose to pop-up over the obstacles if necessary. The approach is similar to our previo...

In this paper, further results are proposed that concern the design and the convergence of receding horizon nonlinear observers. The key feature is the de nition of observability-radius in relation with a pre-speci ed compact set of initial con gurations. This enables a semi-global convergence result to be derived that turns to be a global convergence result when appropriate regularity assumpti...

Decentralized Receding Horizon Control of Cooperative Vehicles with Communication Delays Hojjat A. Izadi, Ph.D. Concordia University, 2009 This thesis investigates the decentralized receding horizon control (DRHC) for a network of cooperative vehicles where each vehicle in the group plans its future trajectory over a finite prediction horizon time. The vehicles exchange their predicted paths wi...