Control of robot arm motion using trapezoid fuzzy two-degree-of-freedom PID algorithm
M Bi - Symmetry, 2020 - mdpi.com
Symmetries play very important in the dynamics of robot systems. The relevant control of
robot arm motion with fault diagnosis including the optimized fuzzy algorithm based on the …
robot arm motion with fault diagnosis including the optimized fuzzy algorithm based on the …
Multiple-target homotopic quasi-complete path planning method for mobile robot using a piecewise linear approach
G Diaz-Arango, H Vazquez-Leal… - Sensors, 2020 - mdpi.com
The ability to plan a multiple-target path that goes through places considered important is
desirable for autonomous mobile robots that perform tasks in industrial environments. This …
desirable for autonomous mobile robots that perform tasks in industrial environments. This …
A variable gain impulsive observer for Lipschitz nonlinear systems with measurement noises
WH Chen, H Sun, X Lu - Journal of the Franklin Institute, 2022 - Elsevier
This paper investigates the variable gain impulsive observer design problem for Lipschitz
nonlinear systems. It is assumed that the measurements are contaminated by noise and …
nonlinear systems. It is assumed that the measurements are contaminated by noise and …
Observer-Based Suboptimal Controller Design for Permanent Magnet Synchronous Motors: State-Dependent Riccati Equation Controller and Impulsive Observer …
Permanent Magnet Synchronous Motors (PMSMs) with high energy efficiency, reliable
performance, and a relatively simple structure are widely utilised in various applications. In …
performance, and a relatively simple structure are widely utilised in various applications. In …
A new modified polynomial-based optimal control design approach
MN Monfared, A Fakharian… - Proceedings of the …, 2021 - journals.sagepub.com
The main concern of this article is addressing a new modified approach to design a
nonlinear optimal controller. The modification focuses on proposing a new approximate …
nonlinear optimal controller. The modification focuses on proposing a new approximate …
Nonlinear state estimation of power plant system using state-dependent Kalman filter
SG Abokhatwa, KM El Hadad… - 2021 IEEE 1st …, 2021 - ieeexplore.ieee.org
In this paper a nonlinear Kalman filter estimator is presented to estimate the states of a
nonlinear large scale power plant system. Power plant process is a highly nonlinear …
nonlinear large scale power plant system. Power plant process is a highly nonlinear …
[PDF][PDF] Nonlinear State Estimation of Power Plant System using State-Dependent Kalman Filter
MR Katebi - AA - researchgate.net
In this paper a nonlinear Kalman filter estimator is presented to estimate the states of a
nonlinear large scale power plant system. Power plant process is a highly nonlinear …
nonlinear large scale power plant system. Power plant process is a highly nonlinear …