Input-output stability properties of networked control systems

By Dragan Nesic, Andrew R. Teel. IEEE Transactions on Automatic Control, 2004

724 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/8654cdafae75f2d742bc6d9989212567ef07d5bc

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Citations in the corpus

Stability Analysis of Networked Control Systems Using a Switched Linear Systems Approach (2009, positive): “However, we could accommodate for packet dropouts by modeling them as prolongations of the transmission interval, as done in [38] and [41].”
Lyapunov conditions for input-to-state stability of impulsive systems (2008, neutral): “Impulsive systems with external inputs arise naturally in control systems with communication constraints, as explicitly discussed in Hespanha, Ortega, and Vasudevan (2002), Liberzon and Hespanha (2005), Nesic and Teel (2004) and Xu and Hespanha (2004).”
Cyber–Physical Systems: A Perspective at the Centennial (2012, methodology): “Moreover, the inputoutput Lp stability of NCS for Lyapunov UGES protocols is shown in [50] based on the small gain theorem.”
Explicit Computation of the Sampling Period in Emulation of Controllers for Nonlinear Sampled-Data Systems (2009, methodology): “Moreover, we have that φ(T̃ ) = λ for T̃ = T̃ (λ, γ, L) defined as T̃ := 1 Lr arctan ( r(1− λ) 2 λ1+λ ( γ L − 1 ) + 1 + λ ) γ > L 1 L 1− λ 1 + λ γ = L 1 Lr arctanh ( r(1− λ) 2 λ1+λ ( γ L − 1 ) + 1 + λ ) γ < L , (28) and r is defined in (15).”
Networked Control Systems With Communication Constraints: Tradeoffs Between Transmission Intervals, Delays and Performance (2010, methodology): “This model will form an extension of the NCS models used before in [10] that were motivated by the work in [13].”
A Survey of Recent Results in Networked Control Systems (2007, methodology): “When this decision is based on the current mismatches between u and û and/or between y and ŷ, we have a dynamic protocol, such as the Try-Once-Discard protocol in [70, 43].”
Cooperative Constrained Control of Distributed Agents With Nonlinear Dynamics and Delayed Information Exchange: A Stabilizing Receding-Horizon Approach (2008, methodology): “ISS tools have been successfully applied to the speciﬁc case of networked systems with serial communication, where Nesic and Teel propose a new uniﬁed framework for modeling and analyzing networked con-trol systems [27], [28].”
A Framework for the Event-Triggered Stabilization of Nonlinear Systems (2015, neutral): “, [17], [19], [32]).”
State feedback controller design of networked control systems with interval time‐varying delay and nonlinearity (2008, result): “For NCS stability analysis, Nesic and Teel have investigated the input-to-state and input– output stability of NCSs [ 14, 15 ] ; Naghshtabrizi and colleagues have employed a hybrid system approach and a variable sampling and delay approach to obtain improved results [ 16, 17 ] .”
Event-Triggering in Distributed Networked Control Systems (2011, methodology): “Finally, Section VI-D examines the communication cost and the complexity of our scheme by comparing it against the approach in [12] that derives the bound on the MATI.”
Recent developments on the stability of systems with aperiodic sampling: An overview (2017, methodology): “This model can be related with (60) used in the impulsive approach by [193].”
A Lyapunov Proof of an Improved Maximum Allowable Transfer Interval for Networked Control Systems (2007, methodology): “We pursue the controller design technique proposed in [1], [2] and further developed in [4], [5].”
Event-Triggered Feedback in Control, Estimation, and Optimization (2010, methodology): “While there is a great deal of literature [11, 25, 50, 51, 90] e xamining networked control systems, there is relatively little work pertainin g to event-triggered NCS.”
Tracking Control of Networked Multi-Agent Systems Under New Characterizations of Impulses and Its Applications in Robotic Systems (2016, background): “Different from [13], [17], and [22], the features of the proposed four types of impulses are threefold: 1) lk can be time varying; 2) lk can be stochastic according to (6); and 3) ξk can be stochastic according to (5).”
Output-Based and Decentralized Dynamic Event-Triggered Control With Guaranteed $\mathcal{L}_{p}$- Gain Performance and Zeno-Freeness (2017, methodology): “However, by building upon [1], [2], and [6], a framework can be obtained that allows us to study next to this standard sampled-data ETC setup, also other access protocols including the round-robin (RR) and the try-once-discard (TOD) protocols in one framework without additional burden.”
An ISS self-triggered implementation of linear controllers (2009, methodology): “In the analysis of robustness of the proposed implementation the authors were inﬂuenced by the approach followed in [8] and [9].”
Input–Output Finite-Time Stability of Linear Systems: Necessary and Sufficient Conditions (2009, background): “IO stability of linear and nonlinear systems has been broadly studied since the early 1960s [3]–[5], and more recently has been extended to the case of networked and hybrid systems [6].”
On the Performance Analysis of Resilient Networked Control Systems Under Replay Attacks (2013, background): “Ke y issues include band-limited channels [15], [22], quantization [6], [21], packet dropout [10 ], [13], [27], delay [5] and sampling [23].”