Pages that link to "Item:Q5225215"
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The following pages link to On parameter convergence in least squares identification and adaptive control (Q5225215):
Displaying 21 items.
- Finite-memory convergent algorithm for estimating the regression function and its application in adaptive control (Q583167) (← links)
- Convergence analysis of a mixed controlled \(l_{2} - l_{p}\) adaptive algorithm (Q624085) (← links)
- Locally optimal adaptive control without persistent excitation (Q674948) (← links)
- On exponential convergence and robustness of least-squares identification (Q1088967) (← links)
- Criterial convergence of the least squares method in an adaptive control system (Q1593858) (← links)
- Predefined-time parameter estimation via modified dynamic regressor extension and mixing (Q2047127) (← links)
- Multi-innovation gradient estimation algorithms and convergence analysis for feedback nonlinear equation-error moving average systems (Q2096137) (← links)
- On using least-squares updates without regressor filtering in identification and adaptive control of nonlinear systems (Q2390565) (← links)
- On exponentially convergent parameter estimation with lack of persistency of excitation (Q2667763) (← links)
- Convergence rate of least-squares identification and adaptive control for stochastic systems† (Q3743236) (← links)
- Recursive least-squares identification algorithms with incomplete excitation: convergence analysis and application to adaptive control (Q3970383) (← links)
- Self-convergence of weighted least-squares with applications to stochastic adaptive control (Q4875954) (← links)
- Composite learning adaptive backstepping control using neural networks with compact supports (Q5128858) (← links)
- Novel model reference adaptive control architecture using semi‐initial excitation‐based switched parameter estimator (Q5128860) (← links)
- On the almost sure central limit theorem for ARX processes in adaptive tracking (Q5128869) (← links)
- Efficient learning from adaptive control under sufficient excitation (Q5225229) (← links)
- Transfer-RLS method and transfer-FORCE learning for simple and fast training of reservoir computing models (Q6055117) (← links)
- Composite learning adaptive dynamic surface control for uncertain nonlinear strict‐feedback systems with fixed‐time parameter estimation under sufficient excitation (Q6060468) (← links)
- Robust model reference adaptive control for transient performance enhancement (Q6078912) (← links)
- Indirect adaptive synchronization for a heterogeneous multiagent network (Q6495764) (← links)
- Least-squares model-reference adaptive control with high-order parameter tuners (Q6546815) (← links)