Showing papers in "Systems & Control Letters in 2019"

TL;DR: By analyzing the interactive mode of different dynamic agents, two kinds of effective consensus protocols are proposed for the hybrid multi-agent system which is composed of continuous-time and discrete-time dynamic agents.

TL;DR: An integral-type sliding mode control scheme by the utilization of an augmented sliding mode observer is presented for the stabilization of the faulty plants and an electromechanical system is applied to validate the availability and applicability of the presented control methods.

TL;DR: A PID autotuner is developed out of the proposed approach and its effectiveness is tested on an experimental brake-by-wire facility, where it is shown to outperform that of a benchmark model-based design method.

TL;DR: By constructing a new weighted Lyapunov function, the sufficient conditions in terms of matrix inequalities are developed for the exponential stability of closed-loop systems.

TL;DR: This work presents Lyapunov analysis conditions for fixed-time stability, a property where all the system's trajectories converge exactly to zero in a finite amount of time that is independent of the system"s initial condition.

TL;DR: Based on the algebraic representation of logical functions, a necessary and sufficient condition is derived for the existence of SDSFCs for the global stabilization of PBCNs and the controller is further designed.

TL;DR: In interval observer design for linear parameter-varying systems subject to uncertainties in parameters, input and output, a novel L ∞ norm based design method is proposed to attenuate the effect of uncertainties and obtain tight state intervals.

TL;DR: In this article, the authors introduce a new definition of discrete-time port-Hamiltonian (PH) systems, which results from structure-preserving discretization of explicit PH systems in time.

TL;DR: The proposed method provides an intuitive design paradigm for interval estimation and is effective in controlling the wrapping effect, which refers to the additional growth of the constructed sets resulting from the propagations of overestimations at each step.

TL;DR: Two Lyapunov-based methods for the asymptotic mean square stability of stochastic linear time-invariant systems are presented and it is shown that in the simplest existing LMIs based on non-augmented LyAPunov functionals, the stability analysis of the integral equation can be omitted.

TL;DR: A new equivalent general system construction is developed and it is proved that the detectability can be kept under this new equivalent transformation, and a Luenberger-like interval observer is proposed.

TL;DR: In this article, the authors examined the shifted passivity property of port-hamptonian systems with strictly convex Hamiltonian, and derived conditions under which shift passivity is guaranteed.

TL;DR: This paper constructs a two player zero-sum game and proposes a Nash Q-learning algorithm to solve for the optimal strategies of both players of a CPS while subject to denial-of-service (DoS) attacks.

TL;DR: A performance constraint is introduced such that the optimal performance is not much worse than when the networks work perfectly, and constraints satisfaction, recursive feasibility and quadratic stability can be ensured despite the presence of DoS attacks.

TL;DR: A new peer-to-peer distributed Kalman filtering is proposed, where each sensor communicates with its connected neighbors to achieve average consensus on weighted measurements and inverse-covariance matrices.

TL;DR: The stability and L 2 -gain analysis are derived firstly for the switched system with PDT switching, and the Lyapunov-like function is allowed to increase during the mismatched period between the controller and the system mode.

TL;DR: This paper proposes an adaptive state observer for a class of nonlinear systems with unknown parameters and uses the recently proposed dynamic regressor extension and mixing approach, whose main feature is that it allows to generate, out of an N -dimensional, linear vector regression, N scalar regression models.

TL;DR: In this article, the weak Feller property of the non-linear filter process was established under weak continuity of the transition probability of controlled Markov chain and total variation continuity of its observation channel.

TL;DR: An iterative method of optimal responses that determine the policy of an agent with a level- k intelligence is introduced and a model-free learning algorithm is formulated to train the different intelligence levels without any knowledge about the physics of the system while quantifying the optimality.

TL;DR: By using the methods of Razumikhin technique, average dwell-time (ADT) approach together with comparison equation, some desired ISS-type properties are obtained and improve existing results regarding asynchronous switching in the literature.

TL;DR: Investigation of the event-triggered L ∞ control for network-based switched linear systems with transmission delay finds necessary samplings of the feedback signal are determined by the improved periodic sampling based event-triggering schemes with extra design parameters, to reduce redundant signal transmissions and updates.

TL;DR: A unifying and versatile framework for a class of discrete time systems whose state is an element of a general group G, that the authors call linear observed systems on groups, which strictly mimic linear systems in the sense that ＋ is replaced with group multiplication, and linear maps with automorphisms.

TL;DR: A new neuroadaptive architecture is presented and analyzed for model reference control of uncertain dynamical systems with strict performance guarantees and has the capability to keep the closed-loop system trajectories within an a-priori, user-defined compact set without violating the universal function approximation property.

TL;DR: The procedure directly accounts for possible discrepancies between the prediction model and the actual plant dynamics by, among other things, considering a case where state measurements are affected by an unknown, but bounded measurement noise.

TL;DR: A controller design approach is proposed in this paper for guarantee of the existence of switching strategies under which a class of switched unstable subsystems subject to external perturbation can be input-to-state stabilized.

TL;DR: It is proved that if the system is controllable in a periodic Sobolev space of order greater than 1, then the system can be stabilized in finite time, and an explicit feedback law is given.

TL;DR: A chance-constrained optimization framework for identifying and eliminating the effects of outliers in the prescription of a Sliced-Normal class of distributions, which makes them amenable to rigorous worst-case based approaches to robustness analysis and robust design.

TL;DR: It is proved that the space generated by the solutions of a general class of first-order hyperbolic PDEs is isomorphic to the spacegenerated by the solution of a difference equation with distributed delays.

TL;DR: Under easily verified controllability and observability assumptions, this distributed output-feedback model predictive control approach provides an upper bound on the group consensus error, thereby ensuring practical consensus in the presence of unmeasured disturbances and noise.

TL;DR: It is shown that well-posedness of the closed-loop system is guaranteed for linear systems whose input to output map is coercive for small times interconnected to monotone nonlinearities.