Search · four archives
Search · four archives
16 papers · ranked by Valyu relevance
Chao Niu, Yumei Yao, Zengliang Zhang, Mingxin Zuo
To enhance trajectory tracking performance for affine nonlinear systems with parametric uncertainties and improve parameter convergence under interval excitation, this paper proposes a multilateral cooperative adaptive learning mechanism. The initial parameter values are assigned based on available data distribution or…
Djaloul Karboua, Toufik Mebkhouta, Said Benkaihoul, Youcef Chouiha + 5 more
'Belgacem Toual' 'Zuhair A. Alqarni' 'Ahmad F. Tazay' 'Mohamed I. Mosaad' 'Jyotindra Narayan'] Sensorless speed motor drives are essential for developing control techniques, reducing cost, streamlining the system, and enhancing reliability. This study explores the area of sensorless speed control for Permanent Magnet…
Rasoul Sabetahd, Seyed Arash Mousavi Ghasemi, Ramin Vafaei Poursorkhabi, Ardashir Mohammadzadeh + 1 more
'Ramin Vafaei Poursorkhabi' 'Ardashir Mohammadzadeh' 'Yousef Zandi'] The present study aims to design a robust adaptive controller employed in the active tuned mass damper (ATMD) system to overcome undesirable vibrations in multistory buildings under seismic excitations. We propose a novel adaptive type-2 neural-fuzzy…
Indrajit Naskar, Arabinda Kumar Pal, Nandan Kumar Jana, Fleur T. Tehrani
'Fleur T. Tehrani'] Uncontrolled breathing is the most critical and challenging situation for a healthcare person to patients. It may be due to simple cough/cold/critical disease to severe respiratory infection of the patients and resulting directly impacts the lungs and damages the alveoli which leads to shortness of…
Omer Saleem, Jamshed Iqbal, Muhammad Shahzad Afzal, Rajesh Kumar
This article presents flexible online adaptation strategies for the performance-index weights to constitute a variable structure Linear-Quadratic-Integral (LQI) controller for an under-actuated rotary pendulum system. The proposed control procedure undertakes to improve the controller’s adaptability, allowing it to…
Govindharaj I, Dinesh Kumar K, Balamurugan S, Yazhinian S + 4 more
'Rampriya R' 'Karthick G' 'Michael G'] The Model Reference Adaptive System (MRAS) is effective for speed control in sensorless Induction Motor (IM) drives, particularly at zero and very low speeds. This study enhances MRAS's resilience and dynamic performance by integrating an Adaptive Neuro-Fuzzy Inference System…
Xiaoxiao Li, Yinhe Wang, Shengping Li, José F. F. Mendes
This paper formulates and solves a new problem of the double model following adaptive control (MFAC) of nodes and links in a complex dynamical network (CDN). This is different from most existing studies on CDN and MFAC. Inspired by the concept of composite systems, the CDN with dynamic links is regarded as an…
Taihao Zhang, Xuewei Li, Hongdong Gai, Yuheng Zhu + 2 more
'Stefano Lenci'] In order to reduce the effect of nonlinear friction and time-varying factors on the servo system of a computer numerical control (CNC) machine tool and improve its motion control accuracy, this paper uses an adaptive sliding mode control (ASMC) method based on model reference adaptive control (MRAC).…
Mohamed Ayman, Mahmoud A. Attia, Ahmed M. Asim
This paper presents an Adaptive Model Predictive Control (AMPC) strategy for robust load-frequency control (LFC) in single-area and double-area power systems under load variations, parameter uncertainty, and renewable energy disturbances. The controller integrates online system identification using Recursive Least…
Alam Gabriel Rojas-López, Miguel Gabriel Villarreal-Cervantes, Alejandro Rodríguez-Molina, Jesús Aldo Paredes-Ballesteros + 3 more
'Alejandro Rodríguez-Molina' 'Jesús Aldo Paredes-Ballesteros' 'Ameer Tamoor Khan' 'Shuai Li' 'Bolin Liao'] The growing reliance on mobile robots has resulted in applications where users have limited or no control over operating conditions. These applications require advanced controllers to ensure the system’s…
Arash Mehrafrooz, Fangpo He, Ali Lalbakhsh, Chunguo Li
In this study, a novel Multivariable Adaptive Neural Network Controller (MANNC) is developed for coupled model-free n-input n-output systems. The learning algorithm of the proposed controller does not rely on the model of a system and uses only the history of the system inputs and outputs. The system is considered as a…
Brahim Brahmi, Hicham Dahani, Soraya Bououden, Raouf Farah + 2 more
'Mohamed Habibur Rahman' 'Enrico Meli'] Rehabilitation robotics has seen growing popularity in recent years due to its immense potential for improving the lives of people with disabilities. However, the complex, uncertain dynamics of these systems present significant control challenges, requiring advanced techniques.…
Enming Shi, Xu Zhong, Tian Wang, Xiaoguang Li + 2 more
'Xingang Zhao'] Introduction Shape memory alloy (SMA) actuators are attractive options for robotic applications due to their salient features. So far, achieving precise control of SMA actuators and applying them to human-robot interaction scenarios remains a challenge. Methods This paper proposes a novel approach to…
Minh-Duc Duong, Quang-Thuyet Pham, Tuan-Chien Vu, Ngoc-Tam BUI + 1 more
'Quy-Thinh Dao'] Pneumatic artificial muscle (PAM) is a potential actuator in human-robot interaction systems, especially rehabilitation systems. However, PAM is a nonlinear actuator with uncertainty and a considerable delay in characteristics, making control challenging. This study presents a discrete-time sliding…
Zijia Li, Guangrong Chen, Chenyang Zhang, Sašo Blažič
In this paper, the research emphasis focuses on the tracking precision of position loading and torque loading systems with velocity-sensitive and adaptive robust control. Compared with conventional PID control, the improved PID control based on velocity-sensitive fully manifests its superiority to position loading. By…
Xuejun Zhou, Ying Dai, Ebrahim Ghaderpour, Ardashir Mohammadzadeh + 1 more
"Pierpaolo D'Urso"] In this paper, a model free control method for a class of discrete time nonlinear systems is introduced. A type-3 fuzzy system estimates the unknown parameters required by the control system. The control system only uses the input and output data of the plant and therefore does not need to know its…