Complex fractional-order LQIR for inverted-pendulum-type robotic mechanisms: Design and experimental validation

O Saleem, F Abbas, J Iqbal - Mathematics, 2023 - mdpi.com
This article presents a systematic approach to formulate and experimentally validate a novel
Complex Fractional Order (CFO) Linear Quadratic Integral Regulator (LQIR) design to …

Equivalent-input-disturbance based robust control design for fuzzy semi-Markovian jump systems via the proportional-integral observer approach

A Dharmarajan, P Arumugam, S Ramalingam… - Mathematics, 2023 - mdpi.com
This work focuses on the design of a unified control law, which enhances the accuracy of
both the disturbance estimation and stabilization of nonlinear TS fuzzy semi-Markovian jump …

Peak-to-Peak Stabilization of Sampled-Data Systems Subject to Actuator Saturation and Its Practical Application to an Inverted Pendulum

KH Nguyen, SH Kim - Mathematics, 2023 - mdpi.com
This paper investigates the local stability and stabilization criteria of sampled-data control
systems, taking into account actuator saturation and peak-bounded exogenous …

Converter inlet temperature control in flue gas acid‐making process based on equivalent input disturbance and model prediction

X Li, M Wang, K Wang, Z Liu, G Li - … Control Applications and …, 2023 - Wiley Online Library
Aiming at the problem of performance degradation of flue gas acid‐making control system
caused by system uncertainty and external interference, this paper presents a model …

Stabilization Control for a Rotary Inverted Pendulum with Different Types of Disturbances

C Ma, Z Wang, S Li, R Wang - 2022 China Automation …, 2022 - ieeexplore.ieee.org
In this study, to keep the rotary inverted pendulum stable under different types of
disturbances, we proposed the disturbance compensation algorithm. Simulation results …

[引用][C] EID Observer based Reinforcement Learning Control for a Rotary Inverted Pendulum

J Seo, S You, K Byeon, W Kim - 정보및제어논문집, 2023 - dbpia.co.kr
In this paper, an equivalent input disturbance (EID) observer based reinforcement learning
(RL) control for a rotary inverted pendulum is proposed. A RL-based controller overcomes …