Stabilization with data-rate-limited feedback: tightest attainable bounds
327 citations recorded by the source corpus.
Subfields: Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/c6d6328522511d25d4831ec41c6b4f4ba3fd9b92
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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Control and Systems Engineering
- P. Arun Raj Kumar
- Huijun Gao
- Tongwen Chen
- Kyoung-Dae Kim
- G. Nair
- R. Evans
- Sanjoy K. Mitter
- Panos J. Antsaklis
Citations in the corpus
- Control under communication constraints (2004, background): “Nair and Evans give rate conditions for stabilizability of an ARMA model [11].”
- Stabilizability of Stochastic Linear Systems with Finite Feedback Data Rates (2004, methodology): “As the presence of noise makes it difficult to extend the asymptotic quantization approach of [20, 22], a completely different method is developed here.”
- Topological feedback entropy and Nonlinear stabilization (2004, background): “One possibility is to simply define it as the infimum data rate needed to be able to stabilize the plant, and indeed expressions for the infimum rate are available both for noiseless [3], [10]–[15] and stochastic linear systems.”
- A new approach to quantized feedback control systems (2008, background): “Results on feedback control with dynamic quantizers can be found in Brockett and Liberzon (2000), Ling and Lemmon (2005), Nair and Evans (2000, 2003), Tatikonda and Mitter (2004).”
- Cyber–Physical Systems: A Perspective at the Centennial (2012, methodology): “In [67], a deterministic scalar autoregressivemoving-average (ARMA) system with a random initial condition is considered.”
- Stabilizing a linear system by switching control with dwell time (2001, unknown): “For other related studies, see, e.g., [9], [20], [26], [ 27 ], [29], and [30].”
- Control and Communication Challenges in Networked Real-Time Systems (2007, background): “This intuitively appealing result was proved independently under a variety of assumptions (see [11], [13], [29], [93], [94], [109], [110], [112], and [122]), indicating that it quantifies a fundamental relationship between unstable physical systems and the rate at which information must be processed”