Results 81 to 90 of about 17,102 (125)
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IEEE Transactions on Automatic Control, 1992
Summary: We consider general stochastic parallel model adaptation problems which consist of an unknown linear time-invariant system and a partially or wholly tunable system connected in parallel, with a common input. The goal of adaptation is to tune the partially tunable system so that its output matches that of the unknown system, despite the ...
Ren, Wei, Kumar, P. R.
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Summary: We consider general stochastic parallel model adaptation problems which consist of an unknown linear time-invariant system and a partially or wholly tunable system connected in parallel, with a common input. The goal of adaptation is to tune the partially tunable system so that its output matches that of the unknown system, despite the ...
Ren, Wei, Kumar, P. R.
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A learning theory approach to system identification and stochastic adaptive control
Journal of Process Control, 2008M. Vidyasagar, R. Karandikar
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2023 International Russian Automation Conference (RusAutoCon), 2023
Various methods, devices and theoretical results related to the problem of applying information theory approaches to stochastic identification and robust control of systems are analyzed and discussed in detail.
Kirill Chernyshov
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Various methods, devices and theoretical results related to the problem of applying information theory approaches to stochastic identification and robust control of systems are analyzed and discussed in detail.
Kirill Chernyshov
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A Learning Theory Approach to System Identification and Stochastic Adaptive Control
Journal of Process Control, 2006In this chapter, we present an approach to system identification based on viewing identification as a problem in statistical learning theory. Apparently, this approach was first mooted in [396]. The main motivation for initiating such a program is that traditionally system identification theory provide asymptotic results.
M. Vidyasagar, Rajeeva L. Karandikar
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IEEE Transactions on Neural Networks and Learning Systems, 2019
In this paper, we propose a novel kernel method for the online identification of stochastic nonlinear spatiotemporal dynamical systems using the robust control approach.
Hanwen Ning +3 more
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In this paper, we propose a novel kernel method for the online identification of stochastic nonlinear spatiotemporal dynamical systems using the robust control approach.
Hanwen Ning +3 more
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International Journal of Systems Science
The coloured noise is ubiquitous in industrial processes. This paper addresses the identification problem for the nonlinear feedback systems with coloured noise. Firstly, a direct identification scheme based on the least squares principle is developed to
Ling Xu +4 more
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The coloured noise is ubiquitous in industrial processes. This paper addresses the identification problem for the nonlinear feedback systems with coloured noise. Firstly, a direct identification scheme based on the least squares principle is developed to
Ling Xu +4 more
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Cybersecurity and Cyberforensics Conference, 2020
This paper focuses on finite-time synchronization and parameters identification in Markovian switching complex delayed network with stochastic perturbations.
Qian Xie +4 more
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This paper focuses on finite-time synchronization and parameters identification in Markovian switching complex delayed network with stochastic perturbations.
Qian Xie +4 more
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IEEE transactions on fuzzy systems
The body’s center of gravity (CoG) plays a pivotal role in human locomotion. Yet, regulating CoG for prosthesis-human cooperative ambulation is often predefined, making it hard for the robot to sense real human intentions, particularly under stochastic ...
Xin Ma
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The body’s center of gravity (CoG) plays a pivotal role in human locomotion. Yet, regulating CoG for prosthesis-human cooperative ambulation is often predefined, making it hard for the robot to sense real human intentions, particularly under stochastic ...
Xin Ma
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International Journal of Control, Automation and Systems, 2023
Chunmei Zhang +3 more
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Chunmei Zhang +3 more
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Proceedings of the Institution of mechanical engineers. Part D, journal of automobile engineering
This paper examines the analysis of NVH (noise, vibration, and harshness) phenomena generated by vehicle drivetrains powered by internal combustion engines and electric motors.
Guangqiang Wu +3 more
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This paper examines the analysis of NVH (noise, vibration, and harshness) phenomena generated by vehicle drivetrains powered by internal combustion engines and electric motors.
Guangqiang Wu +3 more
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