A scaled gradient-momentum framework achieves global finite-time convergence by linking gradient-dominance properties of the objective to finite-time stability via state-dependent scaling.
Finite-time stability of continuous autonomous systems,
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A neural-network-augmented fixed-time sliding-mode controller enables simultaneous force tracking and visual servoing for tendon-driven aerial continuum manipulators under image and force uncertainties.
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Finite-Time Optimization via Scaled Gradient-Momentum Flows
A scaled gradient-momentum framework achieves global finite-time convergence by linking gradient-dominance properties of the objective to finite-time stability via state-dependent scaling.
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AI-Enabled Image-Based Hybrid Vision/Force Control of Tendon-Driven Aerial Continuum Manipulators
A neural-network-augmented fixed-time sliding-mode controller enables simultaneous force tracking and visual servoing for tendon-driven aerial continuum manipulators under image and force uncertainties.