Distributed adaptive control for time-varying formation tracking of a class of networked nonlinear systems
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Publication:5348287
DOI10.1080/00207179.2016.1205757zbMath1367.93307OpenAlexW2460835493MaRDI QIDQ5348287
Publication date: 15 August 2017
Published in: International Journal of Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207179.2016.1205757
Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Decentralized systems (93A14) Control/observation systems governed by ordinary differential equations (93C15)
Related Items (9)
Time-varying formation tracking for high-order multi-agent systems with switching topologies and a leader of bounded unknown input ⋮ Fuzzy-based dynamic event triggering formation control for nonstrict-feedback nonlinear MASs ⋮ Time-varying nonholonomic robot consensus formation using model predictive based protocol with switching topology ⋮ Adaptive neural control for a class of non-affine pure-feedback nonlinear systems ⋮ Quad-Rotor robust time-varying formation control: a Continuous Sliding-Mode Control approach ⋮ Practical time-varying formation tracking for high-order nonlinear multi-agent systems based on the distributed extended state observer ⋮ Adaptive output-feedback time-varying formation tracking control for multi-agent systems with switching directed networks ⋮ Practical time-varying output formation tracking for high-order multi-agent systems with collision avoidance, obstacle dodging and connectivity maintenance ⋮ Robust sliding-mode formation control and collision avoidance via repulsive vector fields for a group of Quad-Rotors
Cites Work
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- Tracking and formation control of multiple autonomous agents: a two-level consensus approach
- Cooperative Control Design for Time-Varying Formations of Multi-Agent Systems
- Synchronized Output Regulation of Linear Networked Systems
- A Theoretical Study of Different Leader Roles in Networks
- Synchronization of Networks of Nonidentical Euler-Lagrange Systems With Uncertain Parameters and Communication Delays
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