Asymptotic behavior of nonlinear networked control systems

By G. Walsh, O. Beldiman, Linda G. Bushnell. IEEE Transactions on Automatic Control, 2001

445 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/f43c97e5dbde7daf816584b1cf3db19fc6211af2

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In Computer Networks and Communications

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Citations in the corpus

A Framework for the Event-Triggered Stabilization of Nonlinear Systems (2015, background): “the dynamics of the controller (4) is sufficiently fast compared to the transmissions rate so that we can ignore its sampling due to its implementation on a digital platform (as in [19], [32] for”
A Survey of Recent Results in Networked Control Systems (2007, result): “In either case, Nesic and Teel [43]–[45] show that the MATI condition 5 in Theorem 8 is less conservative than the ones in [ 68 ]–[70].”
Input-output stability properties of networked control systems (2004, methodology): “We follow the method proposed in [ 25 ] and [26], in which one first designs the controller without taking into account the network and then in the second step one determines a design parameter called the maximum allowable transfer interval (MATI) so that the closed loop remains stable when some con”
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].”
Recent developments on the stability of systems with aperiodic sampling: An overview (2017, background): “For more general nonlinear networked systems, approaches considering sampling as a perturbations can be found in [263,193].”
STATE FEEDBACK CONTROLLER DESIGN OF NETWORKED CONTROL SYSTEMS WITH PARAMETER UNCERTAINTY AND STATE‐DELAY (2006, methodology): “A perturbation method of stability analysis of the NCS was given in [11,13].”
Distributed model predictive control: A tutorial review and future research directions (2013, unknown): “Both assumptions are reasonable from process control and networked control systems perspectives [156], [157], [111], [104] and allow us to study deterministic notions of stability.”
Stability Analysis of Networked Control Systems Using a Switched Linear Systems Approach (2009, background): “This delay compensation requires time stamping of the messages and sending future control signals in larger packets, which is not needed in the more basic emulation based approach, as in [41] and the earlier work without transmission delays in [29], [36]–[40], [43].”
Input-to-state stability of networked control systems (2004, methodology): “It was shown in [11] that several common static and dynamic protocols investigated in [ 16 ,17] belong to the class of UGES protocols.”
An H/sub /spl infin// approach to networked control (2005, background): “work delays are time-varying but bounded and use Lyapunov theory to find the maximum delays that can be tolerated [20], [26], [45]–[47], [50].”
State feedback controller design of networked control systems with interval time‐varying delay and nonlinearity (2008, methodology): “For NCS control design, control without consideration of network-induced delay has been investigated [ 18 ] , while more recent work has been done in the NCS control in the presence of network-induced delay [ 1, 10 ] .”
A Discrete-Time Approach to Stability Analysis of Systems With Aperiodic Sample-and-Hold Devices (2009, methodology): “Remark 2: We have assumed that in (3), which is not required in the methods based on continuous-time Lyapunov functions [4], [5], [7]–[14], [16], [17].”
Input‐to‐state stability of nonlinear stochastic time‐varying systems with impulsive effects (2017, background): “As in [41, 42], we consider a try-once-discard-like protocol to determine the index ik is the index corresponding to the largest ˇ̌ xi t k yi t k ˇ̌ D ˇ̌ ei t k vi t k ˇ̌ ; i 2 11; 2; ; no.”
Lyapunov-Based Model Predictive Control of Nonlinear Systems Subject to Data Losses (2008, background): “This bound on the maximum period of time in which the loop is open has been also used in other works in the literature [20]–[22], [12] and allows us to study deterministic notions of stability.”
Stabilization of nonlinear systems with limited information feedback (2005, methodology): “Our analysis of the error dynamics relies on the Lipschitz property of the right-hand side, and in this sense our solution bears a conceptual resemblance to the construction given in [25]1 (see also [26]).”