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[PDF] Top 20 A Gauss Newton Approach for Nonlinear Optimal Control Problem with Model Reality Differences

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A Gauss Newton Approach for Nonlinear Optimal Control Problem with Model Reality Differences

A Gauss Newton Approach for Nonlinear Optimal Control Problem with Model Reality Differences

... computational approach was proposed, where the least squares scheme is ...our approach, the model-based optimal control problem is solved in ...feedback control law, which ... See full document

16

Application of Conjugate Gradient Approach for Nonlinear Optimal Control Problem with Model Reality Differences

Application of Conjugate Gradient Approach for Nonlinear Optimal Control Problem with Model Reality Differences

... the nonlinear optimal control problem. In our approach, the linear quadratic op- timal control model, which is adding the adjusted parameters into the model used, ... See full document

14

Integrated optimal control and parameter estimation algorithms for discrete time nonlinear stochastic dynamical systems

Integrated optimal control and parameter estimation algorithms for discrete time nonlinear stochastic dynamical systems

... solving nonlinear stochastic optimal control problems in discrete-time based on the principle of model-reality ...of optimal control and parameter ...simplified ... See full document

60

Discrete Time Nonlinear Stochastic Optimal Control Problem Based on Stochastic Approximation Approach

Discrete Time Nonlinear Stochastic Optimal Control Problem Based on Stochastic Approximation Approach

... linear optimal control model with model-reality dif- ferences in solving the nonlinear optimal control problem, especially for dis- crete-time ... See full document

13

A gradient algorithm for optimal control problems with model reality differences

A gradient algorithm for optimal control problems with model reality differences

... discrete-time optimal control prob- lems, where model-reality differences is taken in account, was discussed in this ...original optimal control problem, a sim- ... See full document

16

Efficient output solution for nonlinear stochastic optimal control problem with model reality differences

Efficient output solution for nonlinear stochastic optimal control problem with model reality differences

... control problem is simplified from the original optimal control ...the model used. In this way, the differences between the real system and the model used can be ...the ... See full document

10

Efficient solution for nonlinear dynamic estimation problem with model reality differences

Efficient solution for nonlinear dynamic estimation problem with model reality differences

... computation approach, which is based on the association of the Kalman filtering theory and the principle of model- reality differences, for solving nonlinear dynamic estimation ... See full document

12

The Newton-like properties of the updating mechanism of a model-reality differences algorithm

The Newton-like properties of the updating mechanism of a model-reality differences algorithm

... Abstract The Dynamic Integrated Systems Optimization and Parameter Esti- mation (DISOPE) algorithm is an algorithm for solving nonlinear optimal con- trol problems and is of the gradient descent type. The ... See full document

13

Output regulation for discrete time nonlinear stochastic optimal control problems with model reality differences

Output regulation for discrete time nonlinear stochastic optimal control problems with model reality differences

... the model. In this paper, we propose an efficient computation approach to improve this ...our approach, the linear quadratic regulator optimal control model is considered, where ... See full document

14

Article Description

Article Description

... the model used to represent a ...Designing optimal controls and autopilots, expansion of flight envelopes, updating simulators and verification of overall aircraft performance are some of the uses of ... See full document

8

Nonlinear programming approach for optimal control problems

Nonlinear programming approach for optimal control problems

... Optimal control problems, which arise in engineering, management and sciences, are a practical ...the optimal policy is found in order to minimize the cost functional subject to a class of difference ... See full document

6

Least Squares Solution for Discrete Time Nonlinear Stochastic Optimal Control Problem with Model Reality Differences

Least Squares Solution for Discrete Time Nonlinear Stochastic Optimal Control Problem with Model Reality Differences

... converter model is illustrated [26] [27] [28]. In this model, the real plant is a nonlinear dynamics structure and the output channel is a single output mea- surement, where the stationary Gaussian ... See full document

15

The Effects of Control Domain Size on Optimal Control Problem of Monodomain Model

The Effects of Control Domain Size on Optimal Control Problem of Monodomain Model

... ionic model used. In this paper, a simplified two variable model, namely the Rogers-modified FitzHugh-Nagumo model [14] is chosen, which is given by ... See full document

6

Parameter estimation of tapioca starch hydrolysis process: application of least squares and genetic algorithm

Parameter estimation of tapioca starch hydrolysis process: application of least squares and genetic algorithm

... in nonlinear kinetic parameter estimation of tapioca starch hydrolysis was studied and compared with the Gauss-Newton ...the model parameters of the modified version of Gonzalez-Tello ...the ... See full document

10

Modified Gauss Elimination Technique for
 Separable Nonlinear Programming Problem

Modified Gauss Elimination Technique for Separable Nonlinear Programming Problem

... such nonlinear programming problem in which the objective function as well as constraints are ...Separable Nonlinear Programming Problem (SNPP) is reduced first to Linear Programming ... See full document

8

On a Control Problem Containing Support Functions

On a Control Problem Containing Support Functions

... programming problem seems to originate from the fact that even though the objective functions and/or constraint functions are nonsmooth, a simple representation for the dual may be ... See full document

13

Hybrid Levenberg–Marquardt and weak-constraint ensemble Kalman smoother method

Hybrid Levenberg–Marquardt and weak-constraint ensemble Kalman smoother method

... the control variables being the coefficients of a linear combination of the ensemble ...This approach was extended by Chen and Oliver (2013) to a Levenberg–Marquardt method, with the regularization done by ... See full document

15

A Parametric Approach to Non Convex Optimal Control Problem

A Parametric Approach to Non Convex Optimal Control Problem

... convex optimal control problem and presented the weak, strong and converse duality ...programming problem are established. With a parametric approach, the functions are assumed to be ... See full document

6

A model predictive control approach to the periodic implementation of the solutions of the optimal dynamic resource allocation problem

A model predictive control approach to the periodic implementation of the solutions of the optimal dynamic resource allocation problem

... In case Ω k ′ + 1 is empty for some k, then the corresponding optimization problem has no solution, and the ODRAP does not have a perfection. The reason for such an ill-conditioned ODRAP can be very complex. Wrong ... See full document

5

Optimal control of the propagation of a graph in inhomogeneous media

Optimal control of the propagation of a graph in inhomogeneous media

... related problem involving a stationary eikonal equation for the first arrival time of a front was studied numerically in ...the optimal control of first order conservation ... See full document

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