Observer-based neural adaptive control of a platoon of autonomous tractor-trailer vehicles with uncertain dynamics
DOI10.1049/iet-cta.2019.1403zbMATH Open1542.93138MaRDI QIDQ6608924
Publication date: 20 September 2024
Published in: IET Control Theory \& Applications (Search for Journal in Brave)
uncertain systemsadaptive controlfeedbackrobust controlobserversnonlinear control systemsvariable structure systemsradial basis function networksrobust performancemobile robotscollision avoidanceexternal disturbanceshigh-gain observerradial basis function neural networksLyapunov methodsuncertain dynamicsstructural propertiesunmodelled dynamicsclosed loop systemsmulti-robot systemscontrol system synthesiscontrol nonlinearitiesneurocontrollersadaptive robust controlleruncertainties modelLyapunov-based stability analysisagricultural robotsautonomous tractor-trailer vehiclescommunication rangesinter-vehicular communication maintenancemultiple off-axle hitching tractor-trailersobserver-based neural adaptive controlperformance design procedureperformance nonlinear transformationplatoon formation control problemplatoon formation errorsplatoon output-feedback controllersaturated filtered tracking errorsecond-order Euler-Lagrange formulationtractor-trailer dynamicsultimate tracking accuracy
Feedback control (93B52) Adaptive control/observation systems (93C40) Automated systems (robots, etc.) in control theory (93C85) Observers (93B53)
Cites Work
- Adaptive neural network tracking control for manipulators with uncertain kinematics, dynamics and actuator model
- Robust Adaptive Control of Feedback Linearizable MIMO Nonlinear Systems With Prescribed Performance
- An ESO-based integrated trajectory tracking control for tractor–trailer vehicles with various constraints and physical limitations
- Bounded‐input prescribed performance control of uncertain Euler–Lagrange systems
- Adaptive neural network tracking control for switched uncertain non‐linear systems with actuator failures and time‐varying delays
- Adaptive fault‐tolerant control of mobile robots with actuator faults and unknown parameters
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