Pages that link to "Item:Q5358650"

The following pages link to Concurrent Learning for Parameter Estimation Using Dynamic State-Derivative Estimators (Q5358650):

Displaying 29 items.

• Data-based reinforcement learning approximate optimal control for an uncertain nonlinear system with control effectiveness faults (Q1987267) (← links)
• Improvement of transient performance in MRAC by memory regressor extension (Q2034212) (← links)
• Predefined-time parameter estimation via modified dynamic regressor extension and mixing (Q2047127) (← links)
• Online learning of both state and dynamics using ensemble Kalman filters (Q2072638) (← links)
• Fixed-time composite neural learning control of state-constrained nonlinear uncertain systems (Q2235421) (← links)
• Approximate optimal influence over an agent through an uncertain interaction dynamic (Q2665724) (← links)
• Temporal logic guided safe model-based reinforcement learning: a hybrid systems approach (Q2677109) (← links)
• A new method for sequential learning of states and parameters for state-space models: the particle swarm learning optimization (Q5036844) (← links)
• Adaptive state estimation of state-affine systems with unknown time-varying parameters (Q5043502) (← links)
• Learning from adaptive control under relaxed excitation conditions (Q5128857) (← links)
• Novel model reference adaptive control architecture using semi‐initial excitation‐based switched parameter estimator (Q5128860) (← links)
• Integral concurrent learning: Adaptive control with parameter convergence using finite excitation (Q5128861) (← links)
• Relaxation for online frequency estimator of bias‐affected damped sinusoidal signals based on Dynamic Regressor Extension and Mixing (Q5128866) (← links)
• Adaptive output feedback tracking control for a class of nonlinearly parameterised uncertain systems (Q5157928) (← links)
• Data‐driven optimal fault‐tolerant‐control and detection for a class of unknown nonlinear discrete‐time systems (Q6053722) (← links)
• Composite learning adaptive dynamic surface control for uncertain nonlinear strict‐feedback systems with fixed‐time parameter estimation under sufficient excitation (Q6060468) (← links)
• Behavior learning based distributed tracking control for human-in-the-loop multi-agent systems (Q6078241) (← links)
• Limited‐information learning observer for simultaneous estimation of states and parameters (Q6085194) (← links)
• Composite adaptive neural tracking control of uncertain strict‐feedback systems (Q6141927) (← links)
• Adaptive anti‐disturbance sampling control of autonomous surface vehicles based on discrete‐time concurrent learning extended state observers (Q6193178) (← links)
• A globally stable practically implementable PI passivity-based controller for switched power converters (Q6495152) (← links)
• Finite excitation based robust adaptive observer for MIMO LTI systems (Q6495627) (← links)
• New results on adaptive systems (Q6495757) (← links)
• Overparameterized model parameter recovering with finite-time convergence (Q6495763) (← links)
• First-order virtual synchronization: a new methodology for online identification of structural damping in presence of seismic excitation (Q6578602) (← links)
• Data-driven safe control via finite-time Koopman identifier (Q6645993) (← links)
• Concurrent learning for adaptive Pontryagin's maximum principle of nonlinear systems with inequality constraints (Q6646987) (← links)
• Decentralized concurrent learning with coordinated momentum and restart (Q6648490) (← links)
• Robust adaptive extremum seeking control without persistence of excitation: theory to experiment (Q6664778) (← links)