Results 151 to 160 of about 3,435,907 (207)

Distributed filtering for nonlinear time‐delay systems over sensor networks subject to multiplicative link noises and switching topology

International Journal of Robust and Nonlinear Control, 2019
This paper is concerned with the distributed filtering problem for a class of nonlinear time‐delay system over sensor networks subject to multiplicative link noises and switching topology.
Lifeng Ma, Zidong Wang, Yurong Liu, F. Alsaadi   +3 more
semanticscholar   +1 more source

Fuzzy Peak-to-Peak Filtering for Networked Nonlinear Systems With Multipath Data Packet Dropouts

IEEE transactions on fuzzy systems, 2019
In this paper, the peak-to-peak filtering problem is studied for a class of networked nonlinear systems. The nonlinear physical plant is represented by the Takagi–Sugeno fuzzy system.
Xiaoheng Chang, Qi Liu, Yi-Ming Wang, J. Xiong   +3 more
semanticscholar   +1 more source

Optimal Nonlinear Filtering

1967
A formal survey of nonlinear filtering with emphasis on some ad hoc truncation schemes.
openaire   +2 more sources

Probabilistic‐constrained filtering for a class of nonlinear systems with improved static event‐triggered communication

International Journal of Robust and Nonlinear Control, 2018
This paper is concerned with the probabilistic‐constrained filtering problem for a class of time‐varying systems with stochastic nonlinearities and state constraints.
Engang Tian, Zidong Wang, Lei Zou, D. Yue   +3 more
semanticscholar   +1 more source

Peak-to-Peak Filtering for Networked Nonlinear DC Motor Systems With Quantization

IEEE Transactions on Industrial Informatics, 2018
This paper investigates the peak-to-peak filtering problem for a class of networked nonlinear dc motor systems with quantization. The nonlinear dc motor system is modeled by a Takagi–Sugeno (T–S) fuzzy model.
Xiaoheng Chang, Yi-Ming Wang
semanticscholar   +1 more source

Particle filter with Lamarckian inheritance for nonlinear filtering

2016 IEEE Congress on Evolutionary Computation (CEC), 2016
The particle filter (PF) offers significant advantages over other nonlinear filters for non-Gaussian systems. However, it suffers from particle degeneracy and impoverishment, which can lead to deteriorated estimation performance. Through analyzing the filtering and Lamarckian evolution processes in this paper, we develop a Lamarckian PF (LPF), based on
Lin Li 0048, Chaozhu Zhang, Zhannan Li, Yun Li 0002   +3 more
openaire   +1 more source

Fuzzy Generalized ℋ2 Filtering for Nonlinear Discrete-Time Systems With Measurement Quantization

IEEE Transactions on Systems, Man & Cybernetics. Systems, 2018
In this paper, the generalized ${\mathcal {H}_{2}}$ filter design problems are addressed for a class of nonlinear discrete-time systems with measurement quantization.
Xiaoheng Chang, Zhi-Min Li, Ju H. Park
semanticscholar   +1 more source

Predictive filtering for nonlinear systems

Guidance, Navigation, and Control Conference, 1996
A new real-time filter algorithm for nonlinear systems is presented. The optimal state estimate is found by using a one time-step ahead control approach, combined with the known minimum model error estimator algorithm. The major advantages of the new algorithm over the extended Kalman filter algorithms are: 1) the model error weighting matrix is ...
Crassidis, John L., Markley, F. Landis
openaire   +2 more sources

Nonlinear Filtering and Array Computation

Computer, 1983
The architecture of the array processor is well suited to signal processing problem and the numerical solution of partial differential equations. The authors application concerns developing code to build the best phase demodulator for use in areas such as deep-space and submarine communications.
Richard S. Bucy, Frank Ghovanlou, José M. F. Moura, Kenneth D. Senne   +3 more
openaire   +1 more source

Adaptive control with nonlinear filtering

Automatica, 1985
Nonlinear filters are not commonly used in parameter adaptive control. They make, however, a noteworthy alternative especially when state space models and control algorithms are used. In practice most of the well- known nonlinear filters like the extended Kalman filter suffer computational complexity and robustness problems.
Aarne Halme, J. Selkäinaho, Juha-Pekka Soininen   +2 more
openaire   +2 more sources