☆ 4.6 Article

Outlier-resistant variance-constrained H yen state estimation for time- varying recurrent neural networks with randomly occurring deception attacks

NEURAL COMPUTING & APPLICATIONS (2023)

Related references

Note: Only part of the references are listed.

Article Computer Science, Artificial Intelligence

Time-Frequency Localization Using Deep Convolutional Maxout Neural Network in Persian Speech Recognition

Arash Dehghani et al.

Summary: This paper proposes a CNN-based structure for the time-frequency localization of information in Persian speech recognition. The structure, called TFCMNN, utilizes parallel time-domain and frequency-domain 1D-CMNNs to process the spectrogram and achieves improved performance compared to traditional models. The experimental results show that TFCMNN models have higher recognition scores and shorter training time than conventional 1D-CMNN models.

NEURAL PROCESSING LETTERS (2023)

Add to Collection

Article Automation & Control Systems

Neural-network-based control for discrete-time nonlinear systems with denial-of-service attack: The adaptive event-triggered case

Xueli Wang et al.

Summary: This article investigates a neural network-based control problem for unknown discrete-time nonlinear systems with DoS attacks and an adaptive event-triggered mechanism. A novel adaptive rule and an NN-based observer are constructed to handle the challenges of complex time series, with an iteration adaptive dynamic programming approach proposed to address the control issue effectively. The boundedness of estimation errors and identified errors are discussed using Lyapunov theory.

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL (2022)

Add to Collection

Article Computer Science, Artificial Intelligence

Pattern recognition techniques for classifying aeroballistic flying vehicle paths

Goncharenko Vladimir et al.

Summary: This article introduces a task of classifying aeroballistic vehicle path in atmospheric phase using pattern recognition technique. It evaluates the quality of path recognition system through simulation and probability measures, and provides a set of programs for studying different recognition techniques. The article includes mathematical modeling results and calculations of classification error probabilities.

NEURAL COMPUTING & APPLICATIONS (2022)

Add to Collection

Article Computer Science, Artificial Intelligence

Optimization of vector convolutional deep neural network using binary real cumulative incarnation for detection of distributed denial of service attacks

N. G. Bhuvaneswari Amma et al.

Summary: This article introduces an optimized deep neural network structure for detecting DDoS attacks, using the CuI optimization technique. Experimental results show that this optimization method outperforms existing techniques and achieves significant performance improvement.

NEURAL COMPUTING & APPLICATIONS (2022)

Add to Collection

Article Automation & Control Systems

Fault-Tolerant Consensus Control for Multiagent Systems: An Encryption-Decryption Scheme

Chen Gao et al.

Summary: This article investigates the fault-tolerant consensus control problem for multiagent systems with sensor faults. An observer is designed to estimate the state and the fault, and the encrypted state information is transmitted to other agents through a directed topology for designing the consensus controller. A necessary and sufficient condition is obtained by constructing a novel matrix norm, serving as an index in the observer and controller design, and a simulation example is provided to demonstrate the validity of the results.

IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2022)

Add to Collection

Article Engineering, Electrical & Electronic

More is Less: Domain-Specific Speech Recognition Microprocessor Using One-Dimensional Convolutional Recurrent Neural Network

Bo Liu et al.

Summary: This study aims to improve the accuracy of low-power keywords recognition and proposes a domain-specific speech recognition microprocessor based on 1D-CRNN. An energy-efficient accelerator is implemented to reduce power consumption while maintaining high recognition accuracy.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS (2022)

Add to Collection

Article Automation & Control Systems

A survey on fault-tolerant consensus control of multi-agent systems: trends, methodologies and prospects

Chen Gao et al.

Summary: This article reviews the research progress in the fault-tolerant consensus control (FTCC) problem, discussing it from the perspectives of physical security and logical security. The article also presents the latest research results on FTCC where both physical and logical security are considered simultaneously, as well as outlines potential future research directions.

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE (2022)

Add to Collection

Article Computer Science, Artificial Intelligence

Intelligent analysis system for signal processing tasks based on LSTM recurrent neural network algorithm

Ya Zhou et al.

Summary: This paper introduces an improved LSTM recurrent neural network algorithm to construct the signal processing algorithm and builds an intelligent analysis system based on this algorithm. Experimental results show that the system has good signal processing functions.

NEURAL COMPUTING & APPLICATIONS (2022)

Add to Collection

Article Computer Science, Artificial Intelligence

Memristor-based affective associative memory neural network circuit with emotional gradual processes

Meiling Liaon et al.

Summary: The paper proposes an improved circuit for affective associative memory neural network to achieve progressive changes in emotional intensity. In the designed circuit, the firing frequency of output neurons is correlated with the intensity of emotions. The gradual processes are achieved through the dynamic change of synaptic weights.

NEURAL COMPUTING & APPLICATIONS (2022)

Add to Collection

Article Computer Science, Artificial Intelligence

Audiovisual speech recognition for Kannada language using feed forward neural network

R. Shashidhar et al.

Summary: This study develops an audiovisual speech recognition system for the Kannada language, utilizing the mechanisms of audio and visual speech as well as their integration. Through training and testing, the integrated system achieves a high level of accuracy.

NEURAL COMPUTING & APPLICATIONS (2022)

Add to Collection

Article Engineering, Electrical & Electronic

Crowd Counting by Using Top-k Relations: A Mixed Ground-Truth CNN Framework

Li Dong et al.

Summary: In this paper, a novel convolutional neural network framework called top-k relation-based network (TKRNet) is proposed for crowd counting with mixed ground-truth. The TKRNet utilizes estimated density maps as coarse locations and an adaptive filtering mechanism to enhance feature representations. Experimental results demonstrate its effectiveness on public datasets.

IEEE TRANSACTIONS ON CONSUMER ELECTRONICS (2022)

Add to Collection

Article Computer Science, Information Systems

Detection of stealthy false data injection attacks against networked control systems via active data modification

Zhong-Hua Pang et al.

Summary: This paper investigates the design and detection problems of stealthy false data injection (FDI) attacks against networked control systems from the different perspectives of an attacker and a defender. Proposed solutions for detecting such attacks are presented, and theoretical analysis and simulation results are provided for evaluation.

INFORMATION SCIENCES (2021)

Add to Collection

Article Computer Science, Information Systems

Particle filtering for a class of cyber-physical systems under Round-Robin protocol subject to randomly occurring deception attacks

Weihao Song et al.

Summary: This paper investigates a particle filtering algorithm based on Round-Robin protocol for handling general nonlinear cyber-physical systems with non-Gaussian noises and randomly occurring deception attacks. The algorithm is shown to effectively prevent data collisions and reduce communication overhead, demonstrating feasibility and effectiveness in target tracking problems.

INFORMATION SCIENCES (2021)

Add to Collection

Article Automation & Control Systems

Distributed non-fragile set-membership filtering for nonlinear systems under fading channels and bias injection attacks

Lei Liu et al.

Summary: This paper investigates the secure distributed set-membership filtering problem for general nonlinear systems over wireless sensor networks. Bias injection attacks and channel fading of wireless communication are taken into account in filter design. By using LMI technique and Taylor's expansion formula, nonlinearity, channel fading, bias injection attacks, and non-fragility are handled simultaneously to address the filter design problem. Sufficient conditions are obtained for pre-specified filtering performance, and an optimal algorithm is proposed for locally best performance. Simulation example demonstrates the effectiveness of the proposed secure filtering algorithm.

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE (2021)

Add to Collection

Article Automation & Control Systems

A survey on state estimation of complex dynamical networks

Jun Hu et al.

Summary: This paper reviews the latest state estimation schemes for complex dynamical networks (CDNs), covering various methods under different performance indices and focusing on protocol-based and compensation-based state estimation approaches. Challenging problems for future research are outlined to promote theoretical developments in related fields.

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE (2021)

Add to Collection

Article Automation & Control Systems

Resource-efficient and secure distributed state estimation over wireless sensor networks: a survey

Xin-Chun Jia

Summary: This paper provides a survey of the trending resource-efficient and secure techniques currently used with distributed estimation algorithms over WSNs, covering state-of-the-art in resource-efficient distributed state estimation and secure distributed state estimation under various attacks.

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE (2021)

Add to Collection

Article Computer Science, Artificial Intelligence

Finite-time synchronization of hierarchical hybrid coupled neural networks with mismatched quantization

Rathinasamy Sakthivel et al.

Summary: This study presents a non-fragile memory feedback control methodology for synchronization of HHCNNs, ensuring exponential synchronization criterion through linear matrix inequalities, and validates the significance and advantage of the control strategy through a numerical example.

NEURAL COMPUTING & APPLICATIONS (2021)

Add to Collection

Article Automation & Control Systems

Observer-based non-fragile H∞-consensus control for multi-agent systems under deception attacks

Jinnan Zhang et al.

Summary: This paper addresses the non-fragile H-infinity-consensus control problem for multi-agent systems subject to deception attacks and missing measurements based on the designed observers. A sequence of Bernoulli distributed stochastic variables is used to characterize the random nature of missing measurements, and constraint conditions are given for malicious signals in deception attacks. Based on Lyapunov stability theory, sufficient conditions are established to ensure the existence of the desired observer and controller, and gain parameters are calculated by solving linear matrix inequalities. An explanative example is employed to demonstrate the effectiveness of the proposed distributed control algorithm.

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE (2021)

Add to Collection

Article Computer Science, Artificial Intelligence

Pattern recognition of soldier uniforms with dilated convolutions and a modified encoder-decoder neural network architecture

Manuel Eugenio Morocho-Cayamcela et al.

Summary: This study explores a deep learning-based multimodal technology for soldier image detection with high accuracy. The technology has potential applications in military, surveillance, and defense.

APPLIED ARTIFICIAL INTELLIGENCE (2021)

Add to Collection

Article Automation & Control Systems

Outlier-Resistant Recursive Filtering for Multisensor Multirate Networked Systems Under Weighted Try-Once-Discard Protocol

Yuxuan Shen et al.

Summary: This article studies a new outlier-resistant recursive filtering problem for a class of multisensor multirate networked systems under the weighted try-once-discard protocol. The use of a saturation function in the filter structure to constrain innovations contaminated by measurement outliers is proposed, along with the derivation of an upper bound on the covariance of the filtering error through a matrix difference equation solution. Additionally, the exponential boundedness of filtering error dynamics in the mean square sense is analyzed.

IEEE TRANSACTIONS ON CYBERNETICS (2021)

Add to Collection

Article Computer Science, Artificial Intelligence

Outlier-Resistant Remote State Estimation for Recurrent Neural Networks With Mixed Time-Delays

Jiahui Li et al.

Summary: This brief addresses a new outlier-resistant state estimation problem for a class of recurrent neural networks with mixed time-delays. A confidence-dependent saturation function is proposed to mitigate the side effects from measurement outliers on the estimation error dynamics. By using a combination of Lyapunov-Krasovskii functional and inequality manipulations, a delay-dependent criterion is established to ensure the existence of the outlier-resistant state estimator achieving asymptotic stability with a prescribed H-infinity performance index.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2021)

Add to Collection

Article Computer Science, Artificial Intelligence

New H∞ state estimation criteria of delayed static neural networks via the Lyapunov-Krasovskii functional with negative definite terms

Jing He et al.

NEURAL NETWORKS (2020)

Add to Collection

Article Engineering, Electrical & Electronic

Intelligent Control of Microgrid With Virtual Inertia Using Recurrent Probabilistic Wavelet Fuzzy Neural Network

Kuang-Hsiung Tan et al.

IEEE TRANSACTIONS ON POWER ELECTRONICS (2020)

Add to Collection

Article Automation & Control Systems

Robust Partial-Nodes-Based State Estimation for Complex Networks Under Deception Attacks

Nan Hou et al.

IEEE TRANSACTIONS ON CYBERNETICS (2020)

Add to Collection

Article Computer Science, Artificial Intelligence

Outlier -resistant H . filtering for a class of networked systems under Round -Robin protocol *

Haijing Fu et al.

NEUROCOMPUTING (2020)

Add to Collection

Article Computer Science, Artificial Intelligence

EEG signal processing with separable convolutional neural network for automatic scoring of sleeping stage

Enrique Fernandez-Blanco et al.

NEUROCOMPUTING (2020)

Add to Collection

Article Computer Science, Artificial Intelligence

Neural-Network-Based Adaptive Resilient Dynamic Surface Control Against Unknown Deception Attacks of Uncertain Nonlinear Time-Delay Cyberphysical Systems

Sung Jin Yoo

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2020)

Add to Collection

Article Computer Science, Artificial Intelligence

State-Saturated Recursive Filter Design for Stochastic Time-Varying Nonlinear Complex Networks Under Deception Attacks

Bo Shen et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2020)

Add to Collection

Article Automation & Control Systems

A Dynamic Event-Triggered Transmission Scheme for Distributed Set-Membership Estimation Over Wireless Sensor Networks

Xiaohua Ge et al.

IEEE TRANSACTIONS ON CYBERNETICS (2019)

Add to Collection

Article Computer Science, Theory & Methods

Finite-time H∞ asynchronous state estimation for discrete-time fuzzy Markov jump neural networks with uncertain measurements

Hao Shen et al.

FUZZY SETS AND SYSTEMS (2019)

Add to Collection

Article Automation & Control Systems

A Survey on Model-Based Distributed Control and Filtering for Industrial Cyber-Physical Systems

Derui Ding et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2019)

Add to Collection

Article Mathematics, Applied

Variance-constrained resilient H∞ state estimation for time-varying neural networks with randomly varying nonlinearities and missing measurements

Yan Gao et al.

ADVANCES IN DIFFERENCE EQUATIONS (2019)

Add to Collection

Article Automation & Control Systems

Stubborn state observers for linear time-invariant systems

Angelo Alessandri et al.

AUTOMATICA (2018)

Add to Collection

Article Computer Science, Artificial Intelligence

A survey on security control and attack detection for industrial cyber-physical systems

Derui Ding et al.

NEUROCOMPUTING (2018)

Add to Collection

Article Computer Science, Artificial Intelligence

Event-Triggered State Estimation for Discrete-Time Multidelayed Neural Networks With Stochastic Parameters and Incomplete Measurements

Bo Shen et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2017)

Add to Collection

Article Automation & Control Systems

Distributed Secure Coordinated Control for Multiagent Systems Under Strategic Attacks

Zhi Feng et al.

IEEE TRANSACTIONS ON CYBERNETICS (2017)

Add to Collection

Article Automation & Control Systems

Distributed recursive filtering for stochastic systems under uniform quantizations and deception attacks through sensor networks

Derui Ding et al.

AUTOMATICA (2017)

Add to Collection

Article Computer Science, Theory & Methods

Recursive state estimation for discrete time-varying stochastic nonlinear systems with randomly occurring deception attacks

Derui Ding et al.

INTERNATIONAL JOURNAL OF GENERAL SYSTEMS (2016)

Add to Collection

Article Automation & Control Systems

H∞ filtering for uncertain time-varying systems with multiple randomly occurred nonlinearities and successive packet dropouts

Bo Shen et al.

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL (2011)

Add to Collection

© Peeref 2019-2024. All rights reserved.