IEEE Transactions on Control Systems Technology · 2025 · 15 citations · 45 references
EngineeringAerospace EngineeringRobotics EngineeringRobot ControlRobot DynamicsRoboticsAdaptive ControlControl SystemsControl TheoryDynamic ControlQuadrotor DynamicsRobust ControlAdaptive Control Of Uncertain SystemsAdaptive Robust ControlControl ArchitectureDisturbance ModelingQuadruped ControlRotational DynamicsSafety-critical ArchitectureSpecial Euclidean Group
Quadrotors that can operate predictably in the presence of imperfect model knowledge and external disturbances are crucial in safety-critical applications. We present <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${\boldsymbol}{\mathcal{L}}_1$</tex-math> </inline-formula> Quad, a control architecture that ensures uniformly bounded transient response of the quadrotor’s uncertain dynamics on the special Euclidean group SE(3). By leveraging the geometric controller and the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${\boldsymbol}{\mathcal{L}}_1$</tex-math> </inline-formula> adaptive controller, the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${\boldsymbol}{\mathcal{L}}_1$</tex-math> </inline-formula> Quad architecture provides a theoretically justified framework for the design and analysis of quadrotor’s tracking controller in the presence of nonlinear (time-and state-dependent) uncertainties on both the translational and rotational dynamics. In addition, we validate the performance of the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${\boldsymbol}{\mathcal{L}}_1$</tex-math> </inline-formula> Quad architecture through extensive experiments for 11 types of uncertainties across various trajectories. The results demonstrate that the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${\boldsymbol}{\mathcal{L}}_1$</tex-math> </inline-formula> Quad can achieve consistently small tracking errors despite the uncertainties and disturbances and significantly outperforms existing state-of-the-art controllers.
45
Multilayer feedforward networks are universal approximators
Kurt Hornik, Maxwell B. Stinchcombe, Halbert White · Neural Networks · 1989 · 21.2K citations
Disturbance-Observer-Based Control and Related Methods—An Overview
Wen‐Hua Chen, Jun Yang, Lei Guo et al. · IEEE Transactions on Industrial Electronics · 2015 · 2.8K citations · Full text