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Journal ArticleDOI

On Receding Horizon Feedback Control

C.C. Chen, +1 more
- 01 Aug 1981 - 
- Vol. 14, Iss: 2, pp 377-382
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TLDR
In this paper, a performance index which minimizes the inverse optimal control problem for nonlinear autonomous systems is developed, for which the horizon distance is an easily computed explicit function of the state.
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This article is published in IFAC Proceedings Volumes.The article was published on 1981-08-01. It has received 46 citations till now. The article focuses on the topics: Linear system.

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Citations
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Journal ArticleDOI

Survey Constrained model predictive control: Stability and optimality

TL;DR: This review focuses on model predictive control of constrained systems, both linear and nonlinear, and distill from an extensive literature essential principles that ensure stability to present a concise characterization of most of the model predictive controllers that have been proposed in the literature.
Journal ArticleDOI

A stabilizing model-based predictive control algorithm for nonlinear systems

TL;DR: Using distinct prediction and control horizons, nonlinear model-based predictive control can guarantee: (i) computational efficiency, (ii) enlargement of the stability domain and (iii) local optimality.
Journal ArticleDOI

Stability and Incremental Improvement of Suboptimal MPC Without Terminal Constraints

TL;DR: The stability of suboptimal model predictive control without terminal constraints is investigated for continuous-time nonlinear systems under input constraints and the decay of the optimization error shows the incremental improvement of theSuboptimal MPC scheme.
Journal ArticleDOI

Real-time optimization algorithm for nonlinear receding-horizon control

TL;DR: It is shown that the receding-horizon control problem can be converted to an initial-value problem for an ordinary differential equation that can be solved numerically without recourse to iterative methods.
Journal ArticleDOI

A note on stability, robustness and performance of output feedback nonlinear model predictive control

TL;DR: In this article, the output feedback of a uniformly observable MIMO system with high-gain observers is combined with state feedback to achieve output feedback stabilization, and it is shown that the resulting closed loop is asymptotically stable.
References
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Journal ArticleDOI

Some Extensions of Liapunov's Second Method

TL;DR: In this article, the effect of nonlinearities on the stability of a system is taken into account, and the results for determining the region of asymptotic stability are given.
Journal ArticleDOI

A modified quadratic cost problem and feedback stabilization of a linear system

TL;DR: In this article, a feedback control law for linear systems based on a minimum energy regulator problem with fixed terminal constraints on the state was considered and a modification of this control law was shown to be asymptotically stable.
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Exponential observers for nonlinear dynamic systems

TL;DR: An observer theory is presented for nonlinear dynamic systems and two theorems are presented to give conditions on the system structure such that there exists an exponential observer for the given system.
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On the stabilization of nonlinear systems using state detection

TL;DR: In this paper, the authors studied the problem of stabilizing a nonlinear control system by means of a feedback control law, in cases where the entire state of the system is not available for measurement.
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An easy way to stabilize a linear constant system

TL;DR: A constructive proof is given for finding constant feedback gains that stabilize a linear time-invariant controllable system.
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