A survey on fuzzy control for mechatronics applications
Fuzzy control has become one of the most effective tools for dealing with complex
engineering processes. Over the years, research on fuzzy control systems has continuously …
engineering processes. Over the years, research on fuzzy control systems has continuously …
Electrically stimulated lower limb using a Takagi-Sugeno fuzzy model and robust switched controller subject to actuator saturation and fault under nonideal conditions
Electrically stimulated lower limb systems contain higher order nonlinearities and
uncertainties in their physical parameters. Takagi-Sugeno (TS) fuzzy models are used to …
uncertainties in their physical parameters. Takagi-Sugeno (TS) fuzzy models are used to …
Sufficient conditions in terms of linear matrix inequalities for guaranteed ultimately boundedness of solutions of switched Takagi-Sugeno fuzzy systems using the S …
In this paper, sufficient conditions to ensure the existence of a switching law that makes the
solutions of switched Takagi-Sugeno (TS) fuzzy systems ultimately bounded are developed …
solutions of switched Takagi-Sugeno (TS) fuzzy systems ultimately bounded are developed …
Robust dynamic output‐feedback control for uncertain Takagi–Sugeno time‐delay systems
S Coskun - Mathematical Methods in the Applied Sciences, 2022 - Wiley Online Library
This work deals with the problem of robust output‐feedback ℋ∞ control for a class of
uncertain Takagi–Sugeno (T‐S) fuzzy systems with state time‐varying delays. The system is …
uncertain Takagi–Sugeno (T‐S) fuzzy systems with state time‐varying delays. The system is …
New stabilization conditions for fuzzy-based sampled-data control systems using a fuzzy Lyapunov functional
This paper focuses on the stabilization problem of Takagi-Sugeno fuzzy systems via a
sampled-data controller using a fuzzy dependent functional. By employing a property of …
sampled-data controller using a fuzzy dependent functional. By employing a property of …
RISE controller tuning and system identification through machine learning for human lower limb rehabilitation via neuromuscular electrical stimulation
HH Arcolezi, WRBM Nunes, RA de Araujo… - … Applications of Artificial …, 2021 - Elsevier
Neuromuscular electrical stimulation (NMES) has been effectively applied in many
rehabilitation treatments of individuals with spinal cord injury (SCI). In this context, we …
rehabilitation treatments of individuals with spinal cord injury (SCI). In this context, we …
Robust T‐S Fuzzy Control of Electrostimulation for Paraplegic Patients considering Norm‐Bounded Uncertainties
MR Covacic, MC Minhoto Teixeira… - Mathematical …, 2020 - Wiley Online Library
This manuscript presents a Takagi–Sugeno fuzzy control for a mathematical model of the
knee position of paraplegic patients using functional electrical stimulation (FES). Each local …
knee position of paraplegic patients using functional electrical stimulation (FES). Each local …
[PDF][PDF] Distributed System Access Control for Fuzzy Mathematics and Probability Theory
K Naoko - Distributed Processing System (2022), 2022 - scholar-press.com
AC is to control and manage the access rights of legitimate users who enter the system on
the basis of user identity authentication, so that the user's access rights are limited within the …
the basis of user identity authentication, so that the user's access rights are limited within the …
A NEW NONLINEAR ANALYTICAL CONTROL OF THE HUMAN KNEE JOINT OF PARAPLEGIC PATIENTS UNDER INITIAL KNEE ANGLE UNCERTAINTIES.
FF Al-Bakri, SO Waheed Khafaji… - … of Mechatronics & …, 2024 - search.ebscohost.com
The prolonged sitting for disabled patients can cause several health problems such as
muscle wasting, bedsores, and pain. The majority of these disabled people are paraplegic …
muscle wasting, bedsores, and pain. The majority of these disabled people are paraplegic …
Identifying the knee joint angular position under neuromuscular electrical stimulation via long short-term memory neural networks
Abstract Purpose Recurrent neural networks (RNNs) offer a promising opportunity for
identifying nonlinear systems. This paper investigates the effectiveness of the long short …
identifying nonlinear systems. This paper investigates the effectiveness of the long short …