Showing papers in "Systems & Control Letters in 2020"

TL;DR: There is a positive constant τ ∗ such that the SDNS is also p th moment exponentially stable provided ττ ∗, and an implicit lower bound for τ∗ is given which can be computed numerically.

TL;DR: The fixed-time stability of the closed-loop system is proved using a novel adaptive control strategy expressed as a nonlinear differential equation, which is different from the existing adaptive design method.

TL;DR: To achieve the control objective, the retrogressed form of the studied system is first considered and a common state-feedback controller of all subsystems is first systematically constructed in the framework of the common Lyapunov function (CLF) method combined with the adding a power integrator technique.

TL;DR: For an unknown discrete-time bilinear system, the data collected in an offline open-loop experiment enable us to design a feedback controller and provide a guaranteed underapproximation of its basin of attraction.

TL;DR: In this paper, a delay feedback control is proposed to stabilize a class of highly nonlinear hybrid neutral stochastic differential equations whose coefficients satisfy the polynomial growth condition, where the drift and diffusion coefficients of the given unstable NSDE satisfy highly non-linear growth condition.

TL;DR: It is shown that under the proposed event-triggered boundary control, there exists a minimal dwell-time (independent on initial conditions) between two triggering times and furthermore the well-posedness and global exponential stability are guaranteed.

TL;DR: A new class of scalar, time-varying gain functions entitled as “generalized finite-time gain functions” that have the capability to convert an original baseline control algorithm into a time-Varying one are introduced for addressing time-critical applications.

TL;DR: A novel Razumikhin-type criterion of the p th moment exponential stability is derived for the related systems and shows that time-derivatives of the Lyapunov functions are allowed to be indefinite, even unbounded, which can loosen the constraints of the existing results.

TL;DR: A novel switching event-triggered mechanism and a mode-dependent adaptive control law is co-designed that addresses the mismatch behavior without strict assumptions in the literature, and the absence of Zeno is guaranteed by providing a positive minimum inter-trigger time.

TL;DR: This paper focuses on the practical stability problem for a class of stochastic age-dependent (vintage) capital system with Levy noise, and establishes some novel criteria for the mean square and almost sure practical exponential stability of the addressed system.

TL;DR: An event-triggered integral sliding mode controller design problem for linear systems with disturbance is investigated and a sufficient condition of ultimate boundedness for sliding motion is established and a positive lower bound of the internal execution time is ensured.

TL;DR: In this paper, a control design of the two-phase Stefan problem is presented, which is a representative model of liquid-solid phase transition by describing the time evolutions of the temperature profile, which are divided by subdomains of liquid and solid phases as the liquid moving interface position.

TL;DR: It is illustrated that the negative effect induced by the boundary disturbances can be eliminated by virtue of the proposed algorithm, and a numerical example is presented to support the derived results.

TL;DR: A Lyapunov-Krasovskii method is developed for the design of time-invariant, memoryless linear state and output feedback controllers, achieving global asymptotic stabilization of the closed-loop systems under a linear growth condition.

TL;DR: It is proved that convergence of the system state to the ideal model can be accomplished under conditions similar to those found in anti-windup compensation for purely linear systems.

TL;DR: A simple construction approach based on the Mayo-Antoulas generalized realization theory that automatically yields a port-Hamiltonian realization for every strictly passive system with simple spectral zeros is presented.

TL;DR: By truncating the sojourn times of switching process to be bounded, the numerically testable existence conditions of stabilizing controller for the resulting closed-loop systems with partly unknown semi-Markov kernel are obtained.

TL;DR: A convex analysis approach for solving LQG optimal control problems and applying it to major-minor (MM) and mean-field game (MFG) systems provides a tool for dealing with complex and non-standard systems.

TL;DR: Stability conditions are robust with respect to small perturbations in the elements of these matrices and the primary tool for the analysis is commutation relations between the subsystem matrices.

TL;DR: It is shown that a straightforward formulation of a multi-stage NMPC scheme does not guarantee Input-to-State stability (ISS) in a deterministic setting, in contrast to the results that one gets using stochastic stability concepts.

TL;DR: It is shown that the hybrid robust formation control design for clustered multi-agent networks can be indirectly solved through the robust stabilization design of an equivalent system obtained by matrix theory and algebraic graph theory.

TL;DR: A design of a distributed observer is proposed for continuous-time systems with nonlinear observer nodes such that the estimation errors converge in a finite time to zero and it leads to a simple design with an LMI that is guaranteed to be feasible under general conditions.

TL;DR: This work considers output trajectory tracking for a class of uncertain nonlinear systems whose internal dynamics may be modelled by infinite-dimensional systems which are bounded-input, bounded-output stable.

TL;DR: A sufficient criterion on stochastic stabilization based on discrete-time observation with time delay is derived with the aid of an established dynamical property for the non-autonomous system and simulation on a numerical example is performed to illustrate the theoretical results.

TL;DR: It is proved that state and adjoint satisfy the measure-turnpike property, meaning that the extremal time-varying solution remains essentially close to the optimal solution of an associated static problem.

TL;DR: Theoretical tools to determine this joint property of input-to-state stability are presented for the case where an explicit ISS Lyapunov function is known, and when it remains in implicit form.

TL;DR: By introducing a novel state transformation involving a time-scaling function, the prescribed-time regulation problem is converted into designing appropriate gain parameters and the Lyapunov stability theorem is proved, which guarantees the prescribe-time decentralized regulation of the closed-loop systems.

TL;DR: A predecessor–follower control structure in which a vehicle is responsible for tracking of a desired spacing policy with respect to its predecessor, regardless of the control action of the latter is considered.

TL;DR: The augmented primal–dual gradient dynamics (Aug-PDGD) is extended to incorporate general convex and nonlinear inequality constraints, and its semi-global exponential stability is established when the objective function is strongly convex.

TL;DR: It is shown that the resulting closed-loop system is exponentially input-to-state stable with fading memory of both additive boundary input perturbations and disturbances in the computation of the predictor feedback.