Showing papers in "Systems & Control Letters in 2021"

TL;DR: In this paper, the hidden Markov model detector is forwarded to observe the fading channel mode, whose detection probabilities are generalized to be partially recognized, and sufficient conditions are gained to ensure the resulting dynamic is stochastically stable.

TL;DR: The generalized value iteration with a discount factor is developed for optimal control of discrete-time nonlinear systems, which is initialized with a positive definite value function rather than zero, and the convergence analysis of the discounted value function sequence is provided.

TL;DR: These conditions, devised for both single-layer and multi-layer architectures, consist of nonlinear inequalities on network's weights that can be employed to check the stability of trained networks, or enforced as constraints during the training procedure of a GRU.

TL;DR: In this paper, the authors consider the problem of designing a stabilizing controller for an unknown linear system using only a finite set of noisy data collected from the system and show that the feasible set of the latter design problem is always larger and the set of system matrices consistent with data is always smaller and decreases significantly with the number of data points.

TL;DR: In this paper, a Paillier encryption based average consensus algorithm for a network of systems with second-order dynamics, with randomness added to network weights, is presented, and conditions for privacy-preserving, especially depending on consensus rate, are thoroughly studied with theoretical analysis and numerical verification.

TL;DR: In this paper, boundary control for a class of coupled time fractional order reaction-advection-diffusion (FRAD) systems with non-constant coefficients (space-dependent coefficients) by state feedback is discussed.

TL;DR: A completely distributed adaptive formation control protocol for networked quadrotors under switching communication topologies, where the dynamics of each quadrotor involves seriously nonlinearity and uncertainty simultaneously.

TL;DR: In this article, a periodic sampled-data control for a class of Ito stochastic Markovian jump systems with switching transition rate matrix containing partially known elements is investigated, by introducing a loop-based Lyapunov functional, mean square exponential stability criteria are presented and mode-dependent aperiodic sampled data controllers are designed.

TL;DR: This paper solves the distributed leader–follower simultaneous formation stabilization and tracking control problem for heterogeneous planar underactuated vehicle networks without global position measurements of the followers.

TL;DR: The statistical conditions on dissipativity learning that enable control performance guarantees are analyzed, and theoretical results on performance under nominal conditions as well as in the presence of statistical errors are established.

TL;DR: In this article, the authors show that the set of functions identifiable from multiple experiments is what would actually be computed by input-output equation-based algorithms (whether or not the solvability condition is fulfilled), which was not known before.

TL;DR: A special construction of common Lyapunov function is proposed for the family of subsystems associated with a switched system and conditions of the existence of such a function are derived and obtained results are used for the absolute stability investigation of switched systems with rank one difference.

TL;DR: New methods are developed and sufficient conditions on the stability and instability for hybrid nonlinear systems with periodic stochastic perturbations are provided, which are then used to examine stabilization and destabilization by periodic Stochastic feedback controls, including intermittent stochastics controls.

TL;DR: In this article, the output feedback stabilization of an underactuated chain of scalar hyperbolic systems coupled at one end with a finite-dimensional system is addressed using a recursive dynamics interconnection framework.

TL;DR: In this paper, the authors developed the logical matrix factorization technique for exploring the topological structure and stability of probabilistic Boolean networks (PBNs) and proved the equivalence of finite-time stability and stability in distribution between the original PBN and the size-reduced system.

TL;DR: In this article, a low-pass filter on the measurement channel was proposed for nonlinear plants in observability canonical form, where the output error is filtered by a linear system parametrized by its arbitrary order and a scalar positive gain.

TL;DR: In this paper, a distributed control law was proposed to investigate the passivity of systems of individual agents in the presence of constraints and communication delays, and the authors proved that systems converge to the optimal solution which minimizes the global objective functions.

TL;DR: In this paper, the problem of how semiglobal asymptotic stabilization (SGAS) can be achieved by n -dimensional sampled-data output feedback was addressed. But the problem was not addressed for a class of SISO non-affine systems.

TL;DR: This work studies sufficient conditions for the emergence of consensus and flocking in a class of strongly cooperative non-linear multi-agent systems subject to arbitrary communication failures using a combination of Lyapunov analysis and a novel persistence of excitation condition for cooperative systems.

TL;DR: A spacial semidiscretized finite difference scheme developed in the previous work is used to approximate exact observability and controllability for Euler–Bernoulli beam control system and the uniform observability inequality is proved by discrete energy multiplier technique.

TL;DR: This paper aims to address the issue in the system identification with binary-valued output observations under either-or communication and data packet dropout by designing and implementing an identification algorithm to jointly estimate the system parameter and the packet loss probability.

TL;DR: In this article, a distributed fault-tolerant formation control law for quadrotors with nonlinearities, unknown system parameters, and multiple actuator faults in the vehicle dynamics is developed.

TL;DR: An impulsive adaptive observer is proposed for online estimates of a class of hybrid cascade systems with uncertain parameters using the backstepping approach and the extended Kalman observer and the convergence of the proposed observer is examined.

TL;DR: In this article, the authors derive a high probability concentration bound for stochastic approximation schemes for finding the fixed point of a contraction map, and illustrate its applications in reinforcement learning for approximate dynamic programming.

TL;DR: In this paper, two independent event-triggering schemes are introduced to determine whether the current signals should be transmitted from the sensor to the controller and from the controller to the actuator.

TL;DR: In this paper, a novel approach to exponential stability of general neutral stochastic functional differential equations is proposed, and new criteria for the mean square exponential stability for such equations are given.

TL;DR: In this paper, a Lyapunov-based small-gain theorem for input-to-state stability (ISS) of networks composed of infinitely many finite-dimensional systems is provided.

TL;DR: In this article, a cascade-based distributed control law was proposed to realize a desired circumnavigation formation around the target in underwater environments, where vehicles which do not detect the target were allowed to keep a specified pattern without exchanging the target position information.

TL;DR: In this paper, a nonlinear distributed observer with event-triggered observations is proposed to estimate the attitude and angular velocity of the leader without continuous information exchange, and a positive lower bound of inter-event triggering times is given to show that Zeno behavior can be excluded in the intermittent communication sequence for any agent.

TL;DR: In this paper, the controllability of a general linear hyperbolic system in one space dimension using boundary controls on one side was studied and the null-controllability was shown for any time greater than the optimal time and for any source term.