[PDF] Top 20 Output regulation for discrete time nonlinear stochastic optimal control problems with model reality differences
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Output regulation for discrete time nonlinear stochastic optimal control problems with model reality differences
... This optimal control problem is regarded as the real optimal control problem, and is referred to as Problem ...the nonlinear filtering theory to estimate the state of the real plant is ... See full document
14
Application of Conjugate Gradient Approach for Nonlinear Optimal Control Problem with Model Reality Differences
... of model-reality differences [1] [10] ...linear optimal control problem is complex and solving such problem is compu- tationally demanding, the simplified model for the original ... See full document
14
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 Gauss Newton Approach for Nonlinear Optimal Control Problem with Model Reality Differences
... for nonlinear optimal control problems is an interesting ...the output channel could give a significant response corresponding to the real ...the output that is measured from the ... See full document
16
Integrated optimal control and parameter estimation algorithms for discrete time nonlinear stochastic dynamical systems
... a control law is to be determined such that a given cost functional is minimized subject to a dynamic ...continuous-time optimal control problems in (Roberts, ...solving ... See full document
60
Nonlinear programming approach for optimal control problems
... Optimal control problems, which arise in engineering, management and sciences, are a practical ...these problems, the optimal policy is found in order to minimize the cost functional ... See full document
6
A Discrete-Time Algorithm for the Resolution of the Nonlinear Riccati Matrix Differential Equation for the Optimal Control
... The optimal control in general is an interesting branch of engineering, and it is conduct to the resolution the classical Riccati matrix differential ...the nonlinear matrix differential equation of ... See full document
6
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 ... See full document
15
Efficient output solution for nonlinear stochastic optimal control problem with model reality differences
... world problems can be formulated as the stochastic dynamical systems ...The output sequence, which is measured from the process plant, is also disturbed ...the output sequence would be the ... See full document
10
A gradient algorithm for optimal control problems with model reality differences
... of discrete-time optimal control prob- lems, where model-reality differences is taken in account, was discussed in this ...original optimal control problem, ... See full document
16
Research of adaptive control algorithm research based on rough set and implementation
... This paper studies the robust adaptive control algorithm based on rough set, compared with other correction method does not make the system performance degradation. In the circumstance of no interference, the ... See full document
7
On optimality conditions for optimal control problem in coefficients for Δp-Laplacian
... cost function, the objective is to derive first-order optimality conditions and provide their substantiation. We propose some ideas and new results concerning the differentiability properties of the Lagrange functional ... See full document
29
Minimum Time Overtaking Problem of Vehicle Handling Inverse Dynamics Based on Two Kinds of Safe Distances
... With continuous improvements in traffic conditions, vehicles have entered a high-speed era. It is thus neces- sary to solve the “minimum time problem” in vehicle handling dynamics to satisfy the stability, safety, ... See full document
10
Recursive Estimation for Continuous Time Stochastic Volatility Models Using the Milstein Approximation
... over time as economic conditions ...CIR model presented in [18]. The model defines the short rate as a CIR process with long-run mean (also known as central tendency) being itself a CIR process: ... See full document
9
Stochastic singular optimal control problem of switching systems with constraints
... of stochastic switching systems, we refer to ...optimization problems of hybrid systems and, in par- ticular, optimization problems of switching systems have attracted a lot of theoretical and ... See full document
14
Networked iterative learning control for discrete time systems with stochastic packet dropouts in input and output channels
... the output communication ...the output communication channel, but also possibly in the input commu- nication ...the time point-to-point compensation for the control input along the iteration ... See full document
21
EMERGENCY STATIONS IN THE GRAND MOSQUE OF MECCA AS AN APPLICATION FOR WIRELESS SENSOR NETWORKS
... of discrete HJB equations whish seems inappropriate in the nonlinear discrete optimization, our technique uses the inverse optimal control via CLF in a quadratic ...the optimal ... See full document
10
Optimal Control of Output Signal of a Chaotic Oscillator Using Genetic Algorithm Based Discrete Time PI Controller
... state output variable of Lorenz chaotic oscillator which has nonlinear equations was controlled using reference based negative feedback discrete time PI ...converting discrete ... See full document
9
Improved Optimization Process for Nonlinear Model Predictive Control of PMSM
... many nonlinear control techniques, such as fuzzy logic control, adaptive control and sliding mode control (SMC) have been ...robust model reference adaptive control of ... See full document
11
A RELAXED PROJECTION CONTROL IN THE CONTEXT OF INVERSE OPTIMAL CONTROL FOR DISCRETE NONLINEAR SYSTEMS
... a nonlinear discrete time feedback control design by searching over a family of controls and associated candidate quadratic control Lyapunov functions parameterized by the symmetric ... See full document
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