Efficient nonlinear model predictive control algorithms
Abstract This paper provides a review of computationally efficient approaches to nonlinear model predictive control. The methods considered cover the following areas: tailoring of nonlinear programming algorithms to the structure of the online optimization, use of the optimal control formulation of the receding horizon problem, constraint and cost ...
openaire +1 more source
Efficient nonlinear model predictive control
For large numbers of degrees of freedom and/or high dimensional systems, nonlinear model predictive control algorithms based on dual mode control can become intractable. This paper proposes an alternative which deploys the closed-loop paradigm that has proved effective for the case of linear time-varying or uncertain systems. The various attributes and
Cannon, M +6 more
openaire +1 more source
© 2007 EUCA.A novel online-computation approach to optimal control of nonlinear, noise-affected systems with continuous state and control spaces is presented.
Deisenroth, MP +3 more
core
Pharmaceutical-based entrainment of circadian phase via nonlinear model predictive control. [PDF]
Abel JH +3 more
europepmc +1 more source
Comparison of Optimal Control Solutions in a Labor Market Model [PDF]
In this paper a variety of computational optimal control techniques are compared on a complicated nonlinear discrete-time model. We use a labor market model with the objective of trying to obtain an unemployment rate objective, using an active labor ...
Gareth D Leeves, Ric D Herbert
core
Nonlinear Model Predictive Control For Circadian Entrainment Using Small-Molecule Pharmaceuticals. [PDF]
Abel JH, Chakrabarty A, Doyle FJ.
europepmc +1 more source
Predictive Simulation of Reaching Moving Targets Using Nonlinear Model Predictive Control. [PDF]
Mehrabi N +3 more
europepmc +1 more source
Decentralized nonlinear model predictive control-based flock navigation with real-time obstacle avoidance in unknown obstructed environments. [PDF]
Gerdpratoom N, Yamamoto K.
europepmc +1 more source
Digital twin syncing for autonomous surface vessels using reinforcement learning and nonlinear model predictive control. [PDF]
Berg HS +3 more
europepmc +1 more source
Nonlinear model predictive control of a conductance-based neuron model via data-driven forecasting. [PDF]
Fehrman C, Daniel Meliza C.
europepmc +1 more source

