Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

This article investigates the observer-based adaptive decentralized control problem for a class of uncertain interconnected nonlinear fully actuated systems (FAS), considering nonsmooth actuator dynamics including actuator failures and unknown control gains. Based on the dynamic gain scaling technique, a dynamic state observer is constructed. By utilizing the high-order FAS (HOFAS) approach, an adaptive decentralized output feedback controller is designed and a closed-loop structure of the fully actuated subsystems is derived. This structure takes actuator loss of effectiveness, unknown control gains, and unstructured uncertainties into account in the interconnected time-delay subsystems. By selecting suitable Lyapunov-Krasovskii (L-K) functionals, the time-delay terms can be removed, ensuring that all signals of the overall closed-loop system converge to a bounded region. Finally, two simulation examples validate the efficacy of the proposed strategy.

Download full-text PDF

Source
http://dx.doi.org/10.1109/TCYB.2025.3589538DOI Listing

Publication Analysis

Top Keywords

adaptive decentralized
12
fully actuated
12
observer-based adaptive
8
decentralized control
8
interconnected time-delay
8
nonlinear fully
8
actuated systems
8
nonsmooth actuator
8
actuator dynamics
8
unknown control
8

Similar Publications

Fractional-order adaptive fuzzy decentralized tracking control for steer-by-wire system.

ISA Trans

August 2025

Department of Vehicle Engineering and Jiangsu Engineering Research Center of Vehicle Distributed Drive and Intelligent Wire Control Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China; Department of Vehicle Engineering and Jiangsu Engineering Research Center of Vehi

The steer-by-wire (SbW) system, as the core component of vehicle steering, needs to track the front wheel angle accurately. To mitigate the angle tracking accuracy degradation caused by D-Q axes coupling, time-varying motor electrical parameters, and load disturbance, a fractional-order adaptive fuzzy decentralized tracking control (FAFDTC) strategy is proposed in this paper. First, considering time-varying motor parameters, D-Q axes coupling, and fractional-order characteristics of components, a fractional-order SbW interconnected system is constructed to enhance its ability to characterize nonlinearities, time-varying dynamics, and system coupling.

View Article and Find Full Text PDF

Integrating opinion dynamics and differential game modeling for sustainable groundwater management.

Water Res

September 2025

College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China. Electronic address:

Groundwater overextraction presents persistent challenges due to strategic interdependence among decentralized users. While game-theoretic models have advanced the analysis of individual incentives and collective outcomes, most frameworks assume fully rational agents and neglect the role of cognitive and social factors. This study proposes a coupled model that integrates opinion dynamics with a differential game of groundwater extraction, capturing the interaction between institutional authority and evolving stakeholder preferences.

View Article and Find Full Text PDF

Objective: This study aimed to examine the contextual barriers that may hinder the implementation of multiple family group therapy (MFGT) in Ghana's Lower Manya Krobo District.

Design: An exploratory, descriptive, qualitative study employing focus group discussions and in-depth interviews.

Setting: Atua Government Hospital in the Lower Manya Krobo District.

View Article and Find Full Text PDF

In this article, a novel online adaptive control scheme is developed for the optimal control issues of integrated electric-gas systems with partially unknown dynamics, by combining the decentralized event-triggered mechanism and adaptive dynamic programming techniques. Initially, the complex electric-gas coupling network is modeled in the state-space form. By virtue of neural networks (NNs), the NN-based identifier and the critic NN are designed to approximate the unknown drift dynamic and the optimal value function in an online fashion, respectively.

View Article and Find Full Text PDF

The miniaturization of separation platforms marks a transformative shift in analytical science, merging microfabrication, automation, and intelligent data integration to meet rising demands for portability, sustainability, and precision. This review critically synthesizes recent technological advances reshaping the field-from microinjection and preconcentration modules to compact, high-sensitivity detection systems including ultraviolet-visible (UV/Vis), fluorescence (FL), electrochemical detection (ECD), and mass spectrometry (MS). The integration of microcontrollers, AI-enhanced calibration routines, and IoT-enabled feedback loops has led to the rise of self-regulating analytical devices capable of real-time decision-making and autonomous operation.

View Article and Find Full Text PDF