This paper is concerned with the state estimation problem for a class of nonlinear cyber-physical systems (CPSs) where dynamical physical process approximated by Takagi-Sugeno fuzzy model. The plant measured set wireless sensors and communicate remote estimator via communication channel. In considered CPS, randomly occurring sensor saturation, signal quantization, packet dropouts as well medium access constraint are studied in unified framework. We develop sufficient condition such that...

In recent years, as the grid-connected installed capacity of photovoltaic (PV) power generation has increased by leaps and bounds, it assumed considerable importance in predicting PV output. However, prediction newly built small-scale plants often suffers from many unexpected problems, such data redundancy, noise, sample imbalance, or even missing key data. Motivated above facts, this paper proposes a augmentation-based framework for power. Firstly, daily distance measurement is used to...

This paper is concerned with the fuzzy-model-based fault detection for a class of nonlinear systems networked measurements where there are significant uncertainties on information. A unified model proposed to capture four sources these uncertainties, namely, sensor saturation, signal quantization, general medium access constraint, and multiple packet dropouts. simultaneous consideration issues reflects practical much more closely than existing works. The goal this design detector such that,...

This technical note is concerned with the distributed Kalman filtering problem for a class of networked multi-sensor fusion systems (NMFSs) communication bandwidth constraints. To satisfy finite bandwidth, only partial components local vector estimation signals are transmitted to center (FC) at each time step, where multiple binary variables introduced model this component transmitting process. A novel compensation strategy proposed restructure untransmitted estimate FC end, and recursive...

This paper is concerned with the distributed estimation problem in sensor networks subjected to unknown attacks. Network attacks are considered exist two classes of channels: 1) communication channels from plant sensors and 2) among sensors. The status an attack viewed as a stochastic phenomenon, transmitted information will be affected when attacker successfully carries out on related data packet. Based sensors' own measurements their neighbors' local information, novel model against...

Recently, radars have been widely featured in robotics for their robustness challenging weather conditions. Two commonly used radar types are spinning and phased-array radars, each offering distinct sensor characteristics. Existing datasets typically feature only a single type of radar, leading to the development algorithms limited that specific kind. In this work, we highlight combining different offers complementary advantages, which can be leveraged through heterogeneous dataset....

This paper is concerned with the set-membership estimation problem for complex networks subject to unknown but bounded attacks. Adversaries are assumed exist in nonsecure communication channels from nodes estimators. The transmitted measurements may be modified by an attack function added noise that determined adversary A novel model against attacks presented. Two sufficient conditions derived guarantee existence of estimators cases functions linear and nonlinear, respectively. strategies...

In practical engineering, the sampling intervals of networked control systems are often subject to undesirable physical constraints, which results in noisy intervals. view this, we focus on linear plants without unknown parameters and investigate stabilization problem with stochastic time-varying delays. First, a closed-loop discrete-time system, whose system matrices characterized by high nonlinearity randomness, is obtained considering delays unified framework. Second, an equivalent yet...

This letter investigates the hierarchical fusion estimation for clustered sensor networks. The sensors within same cluster are connected to a local estimator, and all estimators linked with center. center not required be synchronous. During each interval, allowed communicate estimator several times. A minimum variance algorithm is presented aperiodically generate estimates. covariance intersection strategy fused estimates by using asynchronous previous estimates, without knowing...

This study investigates the signal estimation problem in noisy sensor networks with quantised communications. The sensors are subject to random failures, and synchronously take measurements produce local estimates by using a Kalman filtering scheme at each sampling instant. A quantiser is considered be embedded sensor, probabilistic quantisation strategy adopted reduce energy consumption. In between two instants, collects from its neighbours runs consensus-based fusion algorithm generate...

The capacity of combined gauge-satellite precipitation estimates largely depends on the characteristics input data such as number, location and reliability rain gauges, satellite-derived quality. objective this study is to examine influence gauge network configuration including density spatial distribution performance merging estimation at monthly ten-day temporal scales. Dense observations (i.e., TMPA 3B42 Version 7 06 IMERG Final Run) in two provinces China are used. A two-stage...

This paper focuses on the distributed secure state estimation problem, for a class of wireless networked multi-sensor systems, in non-secure communication environment. The phenomenon hybrid attacks both measurement information transmission channel and local channel, is considered. By analyzing occurrence DoS as well false data injection these two channels, novel switched system which consists nine subsystems modeled. Based average dwell-time approach, sufficient conditions are derived such...