Parameterization of a Novel Nonlinear Estimator for Uncertain SISO Systems with Noise Scenario
Dynamic observers are commonly used in feedback loops to estimate the system's states
from available control inputs and measured outputs. The presence of measurement noise …
from available control inputs and measured outputs. The presence of measurement noise …
Neural algorithm for optimization of multidimensional object controller parameters
Optimal control of multivariable systems is a complex dynamic process that minimizes the
cost function to obtain the optimal control strategy. Unfortunately, for nonlinear systems, it is …
cost function to obtain the optimal control strategy. Unfortunately, for nonlinear systems, it is …
Design and Implementation of a Backstep** Time Varying Sliding Mode Control for the Angular Velocity Control of a Hydraulic Rotary Actuator
Abstract The Backstep** Sliding Mode Control is a control technique used for controlling
nonlinear systems. In this paper, the performance of the backstep** sliding mode …
nonlinear systems. In this paper, the performance of the backstep** sliding mode …
[PDF][PDF] DESIGN OF A HYDRAULIC MOTION CONTROL SYSTEM USING TWO BACKSTEPPING TIME VARYING SLIDING MODE STRATEGIES
A second-order sliding mode control is used for high-order uncertain plants using equivalent
control approach to improve the performance of control systems. They combine …
control approach to improve the performance of control systems. They combine …
Event-Triggered Tracking Control for Adaptive Anti-Disturbance Problem in Systems with Multiple Constraints and Unknown Disturbances
H Shen, Q Wang, Y Yi - Entropy, 2022 - mdpi.com
Aimed at the objective of anti-disturbance and reducing data transmission, this article
discusses a novel dynamic neural network (DNN) modeling-based anti-disturbance control …
discusses a novel dynamic neural network (DNN) modeling-based anti-disturbance control …