In this letter we consider the distributed consensus-based filtering problem for linear time-invariant systems over sensor networks subject to random link failures when failure sequence is not known at receiving side. We assume that information exchanged, traveling along channel, corrupted by a noise and hence, it no more possible discriminate with certainty if has occurred. Therefore, in order process only significant information, endow each detectors which decide on presence of failures....

A linear matrix inequality approach to the robust H∞ control problem of uncertain continuous- and discrete-time time-invariant systems with time delay in state vector input is developed. The main results provide sufficient delay-dependent conditions for problem, where explicit size plays a crucial role closed-loop stability. solutions that are found less conservative when compared other approaches recent literature.

We present a methodology and software framework for the automatic design exploration of communication network among sensors, actuators controllers in building automation systems. Given 1) set end-to-end latency, throughput packet error rate constraints between nodes, 2) geometry, 3) library components together with their performance cost characterization, synthesis algorithm produces implementation that satisfies all is optimal respect to installation maintenance cost. The applied wireless...

In this article, we study the leader-following consensus problem for linear multiagent systems and a class of nonlinear ones with bounded disturbances nonuniform arbitrarily large communication delays on both directed undirected graphs. case, solve first time problems in presence large, nonuniform, time-varying communications delay generic connected The approach is fully distributed it based suitable weighting modification network links an output feedback chain predictors.

The problem of maximizing a utility function while limiting the outage probability below an appropriate threshold is investigated. A coded-division multi access wireless network under mixed Nakagami-lognormal fading considered. Solving such maximization difficult because non-convex and non-geometric with integer real decision variables no explicit functions constraints are available. In this paper, three methods for solution proposed. By first method, simple approximation used constraint...

A radio power control strategy to achieve maximum throughput for the up-link of CDMA wireless systems with variable spreading factor is investigated. The system model includes slow and fast fading, rake receiver, multi-access interference caused by users heterogeneous data sources. quality communication expressed in terms outage probability, while defined as sum users' transmit rates. probability accounted resorting a lognormal approximation. mixed integer-real optimization problem P <sub...

In this paper, an improved approach for the solution of regulator problem linear discrete-time dynamical systems with non-Gaussian disturbances and quadratic cost functional is proposed. It known that a suboptimal recursive control can be derived from classical Gaussian (LQG) by substituting filtering part quadratic, or in general polynomial, filter. However, we show when system not asymptotically stable polynomial does improve over LQG solution, due to lack internal stability order enlarge...

We consider a cooperative filtering problem for group of linear stochastic systems when both absolute measurements and relative nonlinear are available. By extending the state each system with quadratic part we able to derive filter in space recursively computable functions measurements. The exact value variance estimation error can be explicitly computed.

The paper concerns the sub-optimal filtering problem when measurement signal is sent through an unreliable channel and noise signals are not necessarily Gaussian. In particular, we assume that packet losses modeled by i.i.d. Bernoulli sequence with known probability mass function, moments of (generally) non-Gaussian sequences up to fourth order known. By mean a suitable rewriting system output injection term, considering augmented second-order Kronecker power measurements, optimal solution...

This letter concerns the linear quadratic non-Gaussian (LQnG) sub-optimal control problem when input signal travels through an unreliable network, namely a Gilbert-Elliot channel. In particular, packet losses are modeled by two-state Markov chain with known transition probability matrix, and we assume that moments of noise sequences up to fourth order known. By mean suitable rewriting system output injection term, considering augmented second-order Kronecker power measurements, simple...

Summary This paper studies the problem of recursive state estimation stochastic linear systems with nonlinear measurements. The main idea is to rewrite measurement map in a form by considering, as system output, vector “virtual” result non‐Gaussian and nonstationary output noise. State therefore obtained using Kalman filter or, alternatively, quadratic filter, suitably designed for systems. work provides two sufficient conditions application virtual approach shows its effectiveness case...

In this paper we consider the distributed Linear-Quadratic-Gaussian optimal control problem for discrete-time systems over networks. particular, feedback controller is composed of local stations which receive some measurement data from plant process and regulate a portion input signal. We provide solution when nodes have information on structural whole network but take actions, also only are available to nodes. The proposed arbitrarily close centralized one intermediate number consensus...

Evolutionary robotics using real hardware is currently restricted to evolving robot controllers, but the technology for evolvable morphologies advancing quickly. Rapid prototyping (3D printing) and automated assembly are main enablers of robotic systems where offspring can be produced based on a blueprint that specifies controllers parents. This article addresses problem gait learning in newborn robots whose morphology unknown advance. We investigate reinforcement method conduct simulation...

The design of large scale complex systems demands the ability to correctly specify and verify as early possible in cycle interaction different components ensure that global level requirements are satisfied. We address this issue using an approach based on notion contract simulation-based verification. In particular, we extend traditional verification methods target distributed systems, which require asynchronous communication paradigm. use a pattern-based language for requirement definition,...