Model Predictive Control is analyzed as a strategy for coping with the unknown, variable and non-deterministic action and measurement delays which can occur in congestion control of available-bit-rate teletraffic control for highspeed data networks. It is shown that the state-feedbackplus-estimator certainty equivalence nature of this control law is particularly amenable to coping with these de...

We study the stability of receding horizon control for continuous-time non-linear stochastic differential equations. We illustrate the results with a simulation example in which we employ receding horizon control to design an investment strategy to repay a debt.

We analyze the structure of the Euler-Lagrange conditions of a lifted long-horizon optimal control problem. The analysis reveals that the conditions can be solved by using block Gauss-Seidel schemes and we prove that such schemes can be implemented by solving sequences of short-horizon problems. The analysis also reveals that a receding-horizon control scheme is equivalent to performing a singl...

In this paper, the application of receding horizon control to a two-link direct drive robot arm is demonstrated. Instead of the terminal constraints, a terminal cost on receding horizon control is used to guarantee the stability, because of the computational demand. The key idea of this paper is to apply the receding horizon control with the terminal cost which is derived from the energy functi...

This paper addresses the design of a nonlinear time-invariant, dynamic state feedback receding horizon controller, which guarantees constraint satisfaction, robust stability and offset-free control of constrained, linear time-invariant systems in the presence of time-varying setpoints and unmeasured, persistent, additive disturbances. First, this objective is obtained by designing a dynamic, li...

    supply chain network   receding horizon control demand move suppression term   Supply chain networks are interconnection and dynamics of a demand network. Example subsystems, referred to as stages, include raw materials, distributors of the raw materials, manufacturers, distributors of the manufactured products, retailers, and customers. The main objectives of the control strategy for the s...

A methodology is proposed to generate minimum-time optimal velocity profiles for a vehicle with prescribed acceleration limits along a specified path. The necessary optimality conditions are explicitly derived, allowing the construction of the optimal solution semi-analytically. A receding horizon implementation is also proposed for the on-line implementation of the velocity optimizer. Robustne...

In this paper, nonlinear receding horizon control (NMPC) is implemented on a laboratory quadruple-tank system, which is a nonlinear multi-variable process with state constraints as well as input constraints. A fast numerical algorithm called C/GMRES is employed to implement nonlinear receding horizon control of quadruple-tank system, in which the continuation method is combined with a fast algo...