Application of fractional order PID control for the robotic rehabilitation exoskeleton using grey wolf optimization DOI
Richa Sharma

2017 6th International Conference on Computer Applications In Electrical Engineering-Recent Advances (CERA), Journal Year: 2023, Volume and Issue: 11, P. 1 - 6

Published: Oct. 27, 2023

Globally, aging is a serious problem that can cause conditions such as movement disorders, stroke, and loss of mobility. Spinal cord Injury (SCI) also one the main causes mobility disorders among human beings. Physical therapy significantly used to help people with some need involvement nurse or physiotherapist. Therefore, it desired develop rehabilitation robotic exoskeleton regain their capabilities will limit for physiotherapist nurse. For designing an system, efficient control strategy essential requirement. Here, closed-loop fractional-order-proportional integral-derivative (FO-PID) scheme employed leg (RRE) plant. A nature-based Grey wolf optimization (GWO) explored getting best values FO-PID scheme. Apart from this, external disturbance has been induced in system observe performance. The resulting are compared its integer counterpart controller.

Language: Английский

A Type-3 Fuzzy Parameter Adjustment in Harmony Search for the Parameterization of Fuzzy Controllers DOI
Cinthia Peraza, Oscar Castillo, Patricia Melín

et al.

International Journal of Fuzzy Systems, Journal Year: 2023, Volume and Issue: 25(6), P. 2281 - 2294

Published: April 10, 2023

Language: Английский

Citations

20

Design of a novel mixed interval type-2 fuzzy logic controller for 2-DOF robot manipulator with payload DOI
Anupam Kumar, Ritu Raj, Amit Kumar

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2023, Volume and Issue: 123, P. 106329 - 106329

Published: May 3, 2023

Language: Английский

Citations

19

Personalized Blood Pressure Control by Machine Learning for Remote Patient Monitoring DOI Creative Commons

Vincent Gnanaraj T,

Khalid A. Alattas, Yassine Bouteraa

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 83994 - 84004

Published: Jan. 1, 2024

Language: Английский

Citations

5

Trust Region Policy Learning for Adaptive Drug Infusion with Communication Networks in Hypertensive Patients DOI Creative Commons
Mai The Vu, Seong Han Kim, Ha Le Nhu Ngoc Thanh

et al.

Mathematics, Journal Year: 2025, Volume and Issue: 13(1), P. 136 - 136

Published: Jan. 1, 2025

In the field of biomedical engineering, issue drug delivery constitutes a multifaceted and demanding endeavor for healthcare professionals. The intravenous administration pharmacological agents to patients normalization average arterial blood pressure (AABP) desired thresholds represents prevalent approach employed within clinical settings. automated closed-loop infusion vasoactive drugs purpose modulating (BP) in suffering from acute hypertension has been focus rigorous investigation recent years. previous works where model-based fuzzy controllers are used control AABP, rely on precise mathematical model, while entail complexity due rule sets. To overcome these challenges, this paper presents an adaptive system AABP by adjusting rate, as well communication time delay (CTD) analyzing wireless connectivity interruption transferring feedback data new insight. Firstly, nonlinear backstepping controller (NBC) is developed continuously using real-time feedback. Secondly, model-free deep reinforcement learning (MF-DRL) algorithm integrated into NBC adjust dynamically coefficients controller. Besides various analyses such normal condition (without CTD strategy), stability, hybrid noise, analysis implemented illustrate functionality manner data.

Language: Английский

Citations

0

Closed loop automated drug infusion regulation based on optimal 2-DOF TID control approach for the mean arterial blood pressure DOI

Oğuzhan Karahan,

Hasan Karci

Medical & Biological Engineering & Computing, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 10, 2025

Language: Английский

Citations

0

Adaptive Fuzzy Finite-Time Sampled-Data Control for a Class of Fractional-Order Nonlinear Systems DOI
Wencheng Zou, Jun Mao, Zhengrong Xiang

et al.

IEEE Transactions on Fuzzy Systems, Journal Year: 2024, Volume and Issue: 32(5), P. 3012 - 3025

Published: Feb. 15, 2024

This article is devoted to solving an adaptive finitetime sampled-data stabilization problem for a class of fractionalorder nonlinear systems (FONSs). By taking advantage type-2 fuzzy logic (FLSs), the uncertainties existed in considered system are able be approximated, and one stabilizer (AFFSS), which possesses switching dynamics, developed by following backstepping approach. crucial effects those "singularity phenomenon" happened derivative such AFFSS at equilibrium state can efficiently avoided. In addition, when with allowable design scalars sampling period imposed on FONS, closed-loop under consideration reach practically finite-time stable (PFS), it verified aid selected Lyapunov function candidate (LFC). end, scheme respectively applied numerical engineering examples verify its effectiveness.

Language: Английский

Citations

4

Adaptive average arterial pressure control by multi-agent on-policy reinforcement learning DOI Creative Commons
Xiaofeng Hong,

Walid Ayadi,

Khalid A. Alattas

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 3, 2025

The current research introduces a model-free ultra-local model (MFULM) controller that utilizes the multi-agent on-policy reinforcement learning (MAOPRL) technique for remotely regulating blood pressure through precise drug dosing in closed-loop system. Within system, there exists MFULM controller, an observer, and intelligent MAOPRL algorithm. Initially, flexible is created to make adjustments medication dosages. Following this, observer incorporated into main improve performance stability by estimating states disturbances. parameters are optimized using adaptive manner, which involves use of actor-critic approach fashion. This enhances adaptability allowing dynamic modifications dosage control parameters. In presence disturbances or instabilities, critic's feedback aids actor adjusting actions reduce their impact, utilizing complementary strategy tackle deficiencies primary controller. Lastly, various evaluations, including assessments under normal conditions, between patients, evaluations against mixed disturbances, have been carried out confirm efficiency viability proposed method.

Language: Английский

Citations

0

Design of a fractional order two layer fuzzy logic controller for drug delivery to regulate blood pressure DOI
Anupam Kumar, Ritu Raj

Biomedical Signal Processing and Control, Journal Year: 2022, Volume and Issue: 78, P. 104024 - 104024

Published: Aug. 7, 2022

Language: Английский

Citations

16

Power Quality Analysis of Interleaved Cuk Configuration-Based Interval Type-2 Fuzzy Logic Controller for Battery Charging in Electric Vehicles DOI

S Narthana,

J. Gnanavadivel

Arabian Journal for Science and Engineering, Journal Year: 2023, Volume and Issue: 49(5), P. 6259 - 6273

Published: Aug. 14, 2023

Language: Английский

Citations

7

Application of Dragonfly Algorithm-Based Interval Type-2 Fuzzy Logic Closed-Loop Control System to Regulate the Mean Arterial Blood Pressure DOI
Richa Sharma, Om Prakash Verma, Pratima Kumari

et al.

Lecture notes in networks and systems, Journal Year: 2024, Volume and Issue: unknown, P. 183 - 193

Published: Jan. 1, 2024

Language: Английский

Citations

2