Buscar
Mostrando ítems 1-10 de 1124
Efficient solution of nonlinear model predictive control by a restricted enumeration method
(Universidad UTE, 2018)
Iterated non-linear model predictive control based on tubes and contractive constraints
(Elsevier Science Inc, 2016-05)
This paper presents a predictive control algorithm for non-linear systems based on successive linearizations of the non-linear dynamic around a given trajectory. A linear time varying model is obtained and the non-convex ...
Embedded position control system of a manipulator using a robust nonlinear predictive control
(Institute of Electrical and Electronics Engineers, 2013-11)
This paper deals with the implementation of a embedded position control system using a robust nonlinear predictive controller, which is employed to control simultaneously angular positions of the base and arm of an angular ...
Fuzzy model-based predictive control for a CSTR with multiple steady state: A simulation study and a comparison with other nonlinear MBPC control algorithms
(World Scientific and Engineering Academy and Society, 2004-04)
In the paper a comparison of different nonlinear model-based predictive control algorithms is presented as a case study for a continuous stirred reactor. The focus is given to the fuzzy predictive control approach which ...
Damage detection in nonlinear structures using discrete-time volterra series
(2013-09-16)
Structural damage identification is basically a nonlinear phenomenon; however, nonlinear procedures are not used currently in practical applications due to the complexity and difficulty for implementation of such techniques. ...
Damage detection in nonlinear structures using discrete-time volterra series
(2013-09-16)
Structural damage identification is basically a nonlinear phenomenon; however, nonlinear procedures are not used currently in practical applications due to the complexity and difficulty for implementation of such techniques. ...
Use of state estimation for inferential nonlinear MPC: a case study
(Elsevier Science Sa, 2005-01-28)
Model predictive control (MPC) has become very popular in process industry and academia because it is an optimizing control technique which can handle hard constraints as well as time delays and mild nonlinearities. Linear ...
Generalized nonlinear optimal predictive control using iterative state-space trajectories: Applications to autonomous flight of UAVs
(Inst Control Robotics & Systems, 2015-04)
Model Predictive Control (MPC) is a modern technique that, nowadays, encapsulates different optimal control techniques. For the case of non-linear dynamics, many possible variants can be developed which can lead to new ...