Pages that link to "Item:Q2485193"
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The following pages link to A revisit to block and recursive least squares for parameter estimation (Q2485193):
Displaying 12 items.
- Recursive least squares estimator with multiple exponential windows in vector autoregression (Q1611085) (← links)
- The block regularised parameter estimator and its parallelisation (Q1899597) (← links)
- Load parameter identification for parallel robot manipulator based on extended Kalman filter (Q2225224) (← links)
- Identification of nonlinear time-varying systems using an online sliding-window and common model structure selection (CMSS) approach with applications to EEG (Q2822325) (← links)
- Fault-tolerant control design using the linear parameter varying approach (Q2933508) (← links)
- Sliding-windowed weighted recursive least-squares method for parameter estimation (Q3481624) (← links)
- Block implementation of a recursive least squares estimation algorithm (Q3809652) (← links)
- Direct and blockwise identification of decomposable systems using recursive least-squares algorithm (Q3809710) (← links)
- A novel variable-length sliding window blockwise least-squares algorithm for on-line estimation of time-varying parameters (Q4651778) (← links)
- (Q4917417) (← links)
- An iterative Q-learning based global consensus of discrete-time saturated multi-agent systems (Q4973006) (← links)
- Experience replay–based output feedback Q‐learning scheme for optimal output tracking control of discrete‐time linear systems (Q5128864) (← links)
