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A quasi-infinite horizon nonlinear model predictive control scheme with guaranteed stability
We present in this paper a novel nonlinear model predictive control scheme that guarantees closed-loop stability. The scheme can be applied to both stable and unstable systems with input constraints.
An internal model principle is necessary and sufficient for linear output synchronization
TLDR
An internal model requirement is necessary and sufficient for synchronizability of the network to polynomially bounded trajectories and the resulting dynamic feedback couplings can be interpreted as a generalization of existing methods for identical linear systems.
Robust output feedback model predictive control of constrained linear systems
TLDR
This paper provides a solution to the problem of robust output feedback model predictive control of constrained, linear, discrete-time systems in the presence of bounded state and output disturbances by combining a simple, stable Luenberger state estimator and a recently developed, robustly stabilizing, tube-based, model predictive controller.
An Introduction to Nonlinear Model Predictive Control
TLDR
A review of the main principles underlying NMPC is provided and the key advantages/disadvantages of NMPC are outlined and some of the theoretical, computational, and implementational aspects ofNMPC are discussed.
Bistability Analyses of a Caspase Activation Model for Receptor-induced Apoptosis*
TLDR
The current knowledge of the molecular mechanisms of the death-receptor-activated caspase cascade is translated into a mathematical model and a reduction down to the apoptotic core machinery enables the application of analytical mathematical methods to evaluate the system behavior within a wide range of parameters.
Nonlinear Model Predictive Control: From Theory to Application
While linear model predictive control is popular since the 70s of the past century, only since the 90s there is a steadily increasing interest from control theoreticians as well as control
Nonlinear Predictive Control and Moving Horizon Estimation — An Introductory Overview
TLDR
This work states that nonlinear model predictive control, i.e. MPC based on a nonlinear plant description, has only emerged in the past decade and the number of reported industrial applications is still fairly low.
A quasi-infinite horizon nonlinear model predictive control scheme with guaranteed stability
TLDR
It is proved that feasibility of the open-loop optimal control problem at time t = 0 implies asymptotic stability of the closed-loop system.
Nonlinear Model Predictive Control Schemes with Guaranteed Stability
Model predictive control (MPC), also referred to as moving horizon control or receding horizon control, has become an attractive feedback strategy, especially for linear or nonlinear systems subject
State and Output Feedback Nonlinear Model Predictive Control: An Overview
TLDR
Conditions that guarantee stability of the closed-loop if an NMPC state feedback controller is used together with a full state observer for the recovery of the system state are derived.
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