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Simultaneous State and Parameter Estimation Methods Based on Kalman Filters and Luenberger Observers: A Tutorial & Review. [PDF]

Sensors (Basel)
Chebbi A, Franchek MA, Grigoriadis K.
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BeamCraft: Deep Reinforcement Learning-DrivenMulti-Objective Beamforming for ISAC

Dao DN, Miao Y.
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On slowly time-varying systems

Automatica, 1991
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dahleh, Mohammed, Dahleh, Munther A.
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Exponential Stability of Slowly Time-Varying Nonlinear Systems

Mathematics of Control, Signals, and Systems (MCSS), 2002
This paper investigates the exponential stability of slowly time-varying nonlinear systems of the form \(\dot x= f(x,t\mid\alpha)\) and also of partially slowly time-varying systems \(\dot x= f(x,t,t\mid\alpha)\). A sufficient condition for exponential stability of a feedback interconnection of a slowly time-varying linear system and a time-varying ...
Joan Peuteman, Joan Peuteman, Dirk Aeyels   +2 more
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Slowly Time-varying Systems and H ∞ Optimization

IFAC Proceedings Volumes, 1988
Abstract In this summary paper, conditions are provided under which sensitivity minimization in slowly time-varying systems can be approximated by solving a sequence of H ∞ problems for the related frozen-time, time-invariant systems. Each H ∞ problem employs the Adamjan-Arov-Krein (AAK) parametrization to obtain a δ-suboptimal frozen-time ...
Le Yi Wang, G. Zames
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Deconvolution for slowly time-varying systems 3D cases

2012 3rd International Conference on Image Processing Theory, Tools and Applications (IPTA), 2012
— In the present work, we discuss an extension of the deconvolution techniques of Sekko [20] and Neveux [18] to 3D signals. The signals are assumed to be degraded by electronic linear systems, in which parameters are slowly time-varying such as sensors or other storage systems. For this purpose, Sekko & al.
Zenati, Soraya, Boukrouche, Abdelhani, Neveux, Philippe   +2 more
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Lyapunov Function Constructions for Slowly Time-Varying Systems

Proceedings of the 45th IEEE Conference on Decision and Control, 2006
We provide general methods for explicitly constructing strict Lyapunov functions for general nonlinear slowly time-varying non-autonomous systems. Our results apply to cases where the given dynamics and corresponding frozen dynamics are not necessarily exponentially stable.
Mazenc, Frédéric, Malisoff, Michael
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On slowly time-varying systems and adaptive control

Proceedings of the 27th IEEE Conference on Decision and Control, 2003
The authors present a characterization of a class of adaptive controllers based on slowly time-varying systems. They derive conditions for the stability of a general adaptive control scheme with the least dependence on the specific design procedure. Such an approach will serve as a characterization of a large class of adaptive controllers and thus make
M. Dahleh, M.A. Dahleh
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