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An intracortical brain-machine interface based on macaque ventral premotor activity. [PDF]
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System Identification Based on Invariant Subspace
IEEE Transactions on Automatic Control, 2022This paper proposes a novel system identification method based on the notion of invariant subspace. It is shown that when the system input and output asymptotically converge onto an invariant subspace, a new form of regression can be obtained. New identification algorithms are then developed based on the obtained regression.
Chao Huang +3 more
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Closed loop subspace system identification
Proceedings of the 36th IEEE Conference on Decision and Control, 2002We present a general framework for closed loop subspace system identification. This framework consists of two new projection theorems which allow the extraction of non-steady state Kalman filter states and of system related matrices directly from input output data.
P. Van Overschee, B. De Moor
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On-line subspace system identification
Control Engineering Practice, 1993Abstract Although state space identification techniques offer some unique advantages over traditional system identification methods based on input/output transfer functions, the computational burden of state space subspace identification has prevented its real-time application. The major costs result from the need for the singular value (or sometimes
Y.M. Cho, G. Xu, T. Kailath
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Subspace identification of circulant systems
Automatica, 2008zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Massioni, Paolo, Verhaegen, Michel
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Continuous-time frequency domain subspace system identification
Signal Processing, 1996zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Van Overschee, Peter, De Moor, Bart
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