Results 81 to 90 of about 28,299,233 (201)

Nonlinear Finite-Horizon Regulation and Tracking for Systems with Incomplete State Information Using Differential State Dependent Riccati Equation

open access: yesInternational Journal of Aerospace Engineering, 2014
This paper presents an efficient online technique used for finite-horizon, nonlinear, stochastic, regulator, and tracking problems. This can be accomplished by the integration of the differential SDRE filter algorithm and the finite-horizon state ...
Ahmed Khamis   +2 more
doaj   +1 more source

Agile Attitude Control and Singularity Avoidance/Escape by the SDRE Method Using a Biased State-Dependent Weighting Matrix

open access: yesApplied Sciences, 2018
In recent years there has been an increasing need to improve satellite attitude control performance in terms of agility and attitude accuracy in large-angle attitude maneuvers.
Ryotaro Ozawa, Masaki Takahashi
doaj   +1 more source

State Dependent Riccati for dynamic boundary control to optimize irrigation in Richards’ equation framework

open access: yesMathematics and Computers in Simulation
We present an approach for the optimization of irrigation in a Richards' equation framework. We introduce a proper cost functional, aimed at minimizing the amount of water provided by irrigation, at the same time maximizing the root water uptake, which is modeled by a sink term in the continuity equation.
Alessandro Alla   +2 more
openaire   +5 more sources

Optimal control and guidance of homing and docking tasks using an autonomous underwater vehicle

open access: yes, 2007
In this paper, the simulation results of a control and guidance strategy for homing and docking tasks using an autonomousunderwater vehicle are presented.
Jantapremjit, Pakpong, Wilson, P. A.
core   +1 more source

Non-linear predictive control for manufacturing and robotic applications [PDF]

open access: yes, 2001
The paper discusses predictive control algorithms in the context of applications to robotics and manufacturing systems. Special features of such systems, as compared to traditional process control applications, require that the algorithms are capable of ...
Grimble, M.J., Ordys, A.W.
core   +3 more sources

Coupled 6DoF nonlinear model of tactical missiles: an optimal autopilot design [PDF]

open access: yesArchives of Control Sciences
A fully coupled six degrees of freedom modelling of a tactical missile and an optimal control theory-based method are presented aiming at minimizing the autopilot control effort and improving the accuracy of reaching the target by a missile guidance ...
Tadeusz Mikutel   +2 more
doaj   +1 more source

A POD Approach to Identify and Control PDEs Online Through State Dependent Riccati Equations

open access: yesDynamic Games and Applications
We address the control of Partial Differential equations (PDEs) with unknown parameters. Our objective is to devise an efficient algorithm capable of both identifying and controlling the unknown system. We assume that the desired PDE is observable provided a control input and an initial condition.
Alla, Alessandro, Pacifico, Agnese
openaire   +4 more sources

Robust optimal control for a class of nonlinear systems with uncertainties and external disturbances based on SDRE

open access: yesCogent Engineering, 2018
In this paper, the problem of the robust optimal control (ROC) for a class of nonlinear systems with uncertainties and external disturbances is studied. For this purpose, the State Dependent Riccati Equation (SDRE) is considered as a solution of the ROC.
Mohammad Khoshhal Rudposhti   +2 more
doaj   +1 more source

Hybrid control strategy using iterative learning and state-dependent Riccati equation for enhanced precision in parallel delta robots

open access: yese-Prime: Advances in Electrical Engineering, Electronics and Energy
Parallel delta robots are widely used in industrial automation for high-speed, high-precision tasks such as pick-and-place operations. However, traditional control methods like Proportional-Derivative (PD) controllers often struggle to handle the ...
Morsy El Gezery   +3 more
doaj   +1 more source

A Hybrid SDRE–MRAC Control Framework with Bayesian Optimization-Based Tuning for Nonlinear Systems: Application to a Robotic Manipulator

open access: yesApplied Sciences
This paper presents a hybrid control framework that combines State-Dependent Riccati Equation (SDRE) control with Model Reference Adaptive Control (MRAC) for nonlinear systems with parametric uncertainties.
Nurdan Bilgin
doaj   +1 more source

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