yusuke1997/dblp-id-title huggingface dataset:
Improved AET Robust Control for Networked T-S Fuzzy Systems With Asynchronous Constraints
Cooperative Fault Tolerant Tracking Control for Multiagent Systems: An Intermediate Estimator-Based Approach
Evolutionary Dynamics of Collective Behavior Selection and Drift: Flocking, Collapse, and Oscillation
Adaptive Event-Triggered Fuzzy Control for Uncertain Active Suspension Systems
NN-Based Event-Triggered Protocol for NCSs Under DoS and Unknown Deception Attacks
Cooperative Path Following Ring-Networked Under-Actuated Autonomous Surface Vehicles: Algorithms and Experimental Results
Integrated Fault Estimation and Fault-Tolerant Tracking Control for Lipschitz Nonlinear Multiagent Systems
Feature-Aware Adaptation and Density Alignment for Crowd Counting in Video Surveillance
Refined Dynamic Event-Triggering Cluster Consensus of Multiagent Systems With Fixed/Switching Topology
Robust Adaptive Control of Uncertain Fully Actuated Systems With Unknown Parameters and Perturbed Input Matrices
A Pareto-Based Sparse Subspace Learning Framework
Event-Triggered Adaptive Finite-Time Control for a Robotic Manipulator System With Global Prescribed Performance and Asymptotic Tracking
Multimodal Fusion for Objective Assessment of Cognitive Workload: A Review
(n, k, p)-Gray Code for Image Systems
Distributed Iterative Learning Control of Nonlinear Multiagent Systems Using Controller-Based Dynamic Linearization Method
No-Reference Image Blur Assessment Based on Discrete Orthogonal Moments
Sampled-Data-Based Consensus and L 2 -Gain Analysis for Heterogeneous Multiagent Systems
LDA-Based Unified Topic Modeling for Similar TV User Grouping and TV Program Recommendation
Pareto Optimal Strategy Under H ∞ Constraint for the Mean-Field Stochastic Systems in Infinite Horizon
Cooperative Set Aggregation of Second-Order Multiagent Systems: Approximate Projection and Prescribed Performance
Quantized Fuzzy Cooperative Output Regulation for Heterogeneous Nonlinear Multiagent Systems With Directed Fixed/Switching Topologies
Observer-Based Fixed-Time-Synchronized Control for Uncertain Euler-Lagrange Systems With Bias-Actuator Faults
Distributed Dynamic Event-Triggered Leader-Following Consensus for Nonlinear Multiagent Systems Over Fading Channel
A Maximum Divergence Approach to Optimal Policy in Deep Reinforcement Learning
HATNet: EEG-Based Hybrid Attention Transfer Learning Network for Train Driver State Detection
Gated Stacked Target-Related Autoencoder: A Novel Deep Feature Extraction and Layerwise Ensemble Method for Industrial Soft Sensor Application
ADP-Based Decentralized Load Frequency Control Schemes to Multiarea Asynchronous Markov Jumping Power Systems With Experience Replay
Saturation-Tolerant Prescribed Control for a Class of MIMO Nonlinear Systems
Reweighted Subspace Clustering Guided by Local and Global Structure Preservation
Data-Driven Interval Type-2 Neural Fuzzy System With High Learning Accuracy and Improved Model Interpretability
A Hybrid Approach to Clustering in Big Data
Adaptive Distance-Based Band Hierarchy (ADBH) for Effective Hyperspectral Band Selection
Multiagent Reinforcement Learning With Sparse Interactions by Negotiation and Knowledge Transfer
Human-Level Control Through Directly Trained Deep Spiking Q-Networks
Discontinuous Neural Networks for Finite-Time Solution of Time-Dependent Linear Equations
Multiplicative Update Methods for Incremental Quantile Estimation
Dynamic Periodic Event-Triggered Synchronization of Complex Networks: The Discrete-Time Scenario
Fully Distributed Adaptive Fault-Tolerant Sliding-Mode Control for Nonlinear Leader-Following Multiagent Systems With ANASs and IQCs
Identification of Cellular Automata Based on Incomplete Observations With Bounded Time Gaps
Toward a New Task Assignment and Path Evolution (TAPE) for Missile Defense System (MDS) Using Intelligent Adaptive SOM with Recurrent Neural Networks (RNNs)
Growing Echo State Network With an Inverse-Free Weight Update Strategy
Outlier Detection Using Structural Scores in a High-Dimensional Space
Robust Collaborative Learning of Patch-Level and Image-Level Annotations for Diabetic Retinopathy Grading From Fundus Image
Learning Cognitive Map Representations for Navigation by Sensory-Motor Integration
Community-Aware Photo Quality Evaluation by Deeply Encoding Human Perception
Toward Interpretable-AI Policies Using Evolutionary Nonlinear Decision Trees for Discrete-Action Systems
Observer-Based Bounded H ∞ Control for Shift-Varying Linear Repetitive Processes With Constrained Bit Rates Over a Finite Horizon
Self-Healing Fault-Tolerant Control for High-Order Fully Actuated Systems Against Sensor Faults: A Redundancy Framework
A Novel Parallel Control Method for Continuous-Time Linear Output Regulation With Disturbances
Task-Oriented Tool Manipulation With Robotic Dexterous Hands: A Knowledge Graph Approach From Fingers to Functionality
Deep Max-Margin Discriminant Projection
Distributed Resilient Tracking of Multiagent Systems Under Actuator and Sensor Faults
Structured Graph Learning for Scalable Subspace Clustering: From Single View to Multiview
Fisher Information Matrix of Unipolar Activation Function-Based Multilayer Perceptrons
Robust Output Regulation of Uncertain Singular Linear Systems Subject to Input Saturation and DoS Attacks
Deep-Learning-Based Probabilistic Forecasting of Electric Vehicle Charging Load With a Novel Queuing Model
Hyperspectral and LiDAR Data Classification Based on Structural Optimization Transmission
Reliable Co-Prognosability of Decentralized Stochastic Discrete-Event Systems and a Polynomial-Time Verification
General Decay Stability for Nonautonomous Neutral Stochastic Systems With Time-Varying Delays and Markovian Switching
A Switched Integral-Based Event-Triggered Control of Uncertain Nonlinear Time-Delay System With Actuator Saturation
A Component-Based Diffusion Model With Structural Diversity for Social Networks
A New Kind of Nonparametric Test for Statistical Comparison of Multiple Classifiers Over Multiple Datasets
GAFnet: Group Attention Fusion Network for PAN and MS Image High-Resolution Classification
Finite-Time Passivity and Synchronization of Complex Dynamical Networks With State and Derivative Coupling
Spike Timing or Rate? Neurons Learn to Make Decisions for Both Through Threshold-Driven Plasticity
Cooperative Multiagent Learning and Exploration With Min-Max Intrinsic Motivation
Fault-Tolerant Fuzzy-Resilient Control for Fractional-Order Stochastic Underactuated System With Unmodeled Dynamics and Actuator Saturation
Networked Output-Feedback MPC: A Bounded Dynamic Variable and Time-Varying Threshold-Dependent Event-Based Approach
Absolutely Exponential Stability and Temperature Control for Gas Chromatograph System Under Dwell Time Switching Techniques
A Characteristic-Based Framework for Multiple Sequence Aligners
PPLS/D: Parallel Pareto Local Search Based on Decomposition
Boosting Cooperative Coevolution for Large Scale Optimization With a Fine-Grained Computation Resource Allocation Strategy
Feedback Strategies for a Reach-Avoid Game With a Single Evader and Multiple Pursuers
Evolutionary Many-Objective Algorithm Using Decomposition-Based Dominance Relationship
High-Dimensional Data Global Sensitivity Analysis Based on Deep Soft Sensor Model
Real-World ISAR Object Recognition Using Deep Multimodal Relation Learning
Multiobjective Evolution of Biped Robot Gaits Using Advanced Continuous Ant-Colony Optimized Recurrent Neural Networks
Incomplete Multiview Spectral Clustering With Adaptive Graph Learning
A Level Set Approach to Image Segmentation With Intensity Inhomogeneity
Distributed Active Fault-Tolerant Cooperative Control for Multiagent Systems With Communication Delays and External Disturbances
Bionic Face Sketch Generator
Hierarchical Bayesian Inverse Reinforcement Learning
Neural Networks-Based Adaptive Finite-Time Fault-Tolerant Control for a Class of Strict-Feedback Switched Nonlinear Systems
Granularity and Entropy of Intuitionistic Fuzzy Information and Their Applications
Granular Computing Approach to Two-Way Learning Based on Formal Concept Analysis in Fuzzy Datasets
An Energy-Efficient Target-Tracking Strategy for Mobile Sensor Networks
Two-Layer Distributed Formation-Containment Control of Multiple Euler-Lagrange Systems by Output Feedback
Intensity-Varied Closed-Loop Noise Stimulation for Oscillation Suppression in the Parkinsonian State
Last-Position Elimination-Based Learning Automata
Summarization With Self-Aware Context Selecting Mechanism
Neural Network-Based Hybrid Three-Dimensional Position Control for a Flapping Wing Aerial Vehicle
Disturbance Observer-Based Minimum Entropy Control for a Class of Disturbed Non-Gaussian Stochastic Systems
Self-Triggered Impulsive Control for Lyapunov Stability of Nonlinear Systems in Discrete Time
Adaptive Learning for Robust Radial Basis Function Networks
OStr-DARTS: Differentiable Neural Architecture Search Based on Operation Strength
Barrier-Based Adaptive Line-of-Sight 3-D Path-Following System for a Multijoint Robotic Fish With Sideslip Compensation
Two-Stage Data-Driven Evolutionary Optimization for High-Dimensional Expensive Problems
Superimposed Sparse Parameter Classifiers for Face Recognition
A Minimum Cost Consensus-Based Failure Mode and Effect Analysis Framework Considering Experts' Limited Compromise and Tolerance Behaviors
Adaptive Cointegration Analysis and Modified RPCA With Continual Learning Ability for Monitoring Multimode Nonstationary Processes
Large Scale Spectral Clustering Via Landmark-Based Sparse Representation
Composite Neural Learning Fault-Tolerant Control for Underactuated Vehicles With Event-Triggered Input
Distributed Dynamic Event-Triggered Control for Euler-Lagrange Multiagent Systems With Parametric Uncertainties
Robust Cooperative Control for Heterogeneous Uncertain Nonlinear High-Order Fully Actuated Multiagent Systems
Robust Output Regulation of Linear Uncertain Systems by Dynamic Event-Triggered Output Feedback Control
Spectral Multimodal Hashing and Its Application to Multimedia Retrieval
Dominance-Based Ranking Functions for Interval-Valued Intuitionistic Fuzzy Sets
Cross-Model Nested Fusion Network for Salient Object Detection in Optical Remote Sensing Images
A Multifilters Approach to Adaptive Event-Triggered Control of Uncertain Nonlinear Systems With Global Output Constraint
Evolutionary Fuzzy Control and Navigation for Two Wheeled Robots Cooperatively Carrying an Object in Unknown Environments
Automatically Building Service-Based Systems With Function Relaxation
Adaptive Q-Learning for Data-Based Optimal Output Regulation With Experience Replay
Solving the Zero-Sum Control Problem for Tidal Turbine System: An Online Reinforcement Learning Approach
Game Theoretic Analysis of Cooperative Message Forwarding in Opportunistic Mobile Networks
A Dual Triggering Scheme to Adaptive Fuzzy Resilient Control of Switched Nonlinear Systems Against Mixed Attacks
An Efficient Approach to Integrating Radius Information into Multiple Kernel Learning
Data-Driven Event-Triggered Sliding Mode Secure Control for Autonomous Vehicles Under Actuator Attacks
Exponential Synchronization of Markovian Jump Neural Networks Based on Asynchronous Delayed-Feedback Controller With Uncertain Hidden Information
Dual Multiscale Mean Teacher Network for Semi-Supervised Infection Segmentation in Chest CT Volume for COVID-19
Consensus With Persistently Exciting Couplings and Its Application to Vision-Based Estimation
A Multiscale Fuzzy Metric for Detecting Small Infrared Targets Against Chaotic Cloudy/Sea-Sky Backgrounds
Simultaneous Spectral-Spatial Feature Selection and Extraction for Hyperspectral Images
Disturbance Observer Dynamic Linearization-Based Model-Free Adaptive Control for Discrete-Time Nonlinear Systems
Adaptive Differential Evolution With Sorting Crossover Rate for Continuous Optimization Problems
Task Sensitive Feature Exploration and Learning for Multitask Graph Classification
On Complete Stability of Recurrent Neural Networks With Time-Varying Delays and General Piecewise Linear Activation Functions
Toward an Axiomatic Definition of Conflict Between Belief Functions
Balancing Objective Optimization and Constraint Satisfaction in Constrained Evolutionary Multiobjective Optimization
Hyperspectral Image Restoration Using Weighted Group Sparsity-Regularized Low-Rank Tensor Decomposition
Kernel Density Estimation, Kernel Methods, and Fast Learning in Large Data Sets
Deep Cascade Gradient RBF Networks With Output-Relevant Feature Extraction and Adaptation for Nonlinear and Nonstationary Processes
A Novel Artificial Bee Colony Algorithm Based on Modified Search Equation and Orthogonal Learning
Desktop Action Recognition From First-Person Point-of-View
Asynchronous H∞ Control for Continuous-Time Hidden Markov Jump Systems With Actuator Saturation
Discrete-Time Advanced Zeroing Neurodynamic Algorithm Applied to Future Equality-Constrained Nonlinear Optimization With Various Noises
Stabilization via Event-Triggered Impulsive Control With Constraints for Switched Stochastic Systems
Event-Triggered Reinforcement Learning-Based Adaptive Tracking Control for Completely Unknown Continuous-Time Nonlinear Systems
Edge Event-Triggered Synchronization in Networks of Coupled Harmonic Oscillators
Knowledge Transfer-Based Sparse Deep Belief Network
Compressive-Sensing-Based Structure Identification for Multilayer Networks
Robust Near-Optimal Coordination in Uncertain Multiagent Networks With Motion Constraints
Composite Adaptive Fuzzy Output Feedback Control Design for Uncertain Nonlinear Strict-Feedback Systems With Input Saturation
Fixed-Time Stochastic Synchronization of Complex Networks via Continuous Control
Spatial Linear Dynamic Relationship of Strongly Connected Multiagent Systems and Adaptive Learning Control for Different Formations
Information Space Receding Horizon Control for Multisensor Tasking Problems
Consensus of Linear Multi-Agent Systems by Distributed Event-Triggered Strategy
From the Symbolic Analysis of Virtual Faces to a Smiles Machine
VOR Adaptation on a Humanoid iCub Robot Using a Spiking Cerebellar Model
Distributed Resilient Source Seeking of Multirobot Systems Under Mixed Cyberattacks
A Multiple-Feature and Multiple-Kernel Scene Segmentation Algorithm for Humanoid Robot
Feature Correlation Hypergraph: Exploiting High-order Potentials for Multimodal Recognition
Resilient Output Formation-Tracking of Heterogeneous Multiagent Systems Against General Byzantine Attacks: A Twin-Layer Approach
Robust Multiobjective Optimization for Vehicle Routing Problem With Time Windows
A Secure Control Learning Framework for Cyber-Physical Systems Under Sensor and Actuator Attacks
Hyperspectral Image Classification Using Functional Data Analysis
Finite-Time Convergence Adaptive Neural Network Control for Nonlinear Servo Systems
Takagi-Sugeno Model Based Analysis of EWMA RtR Control of Batch Processes With Stochastic Metrology Delay and Mixed Products
Disassembly Sequence Optimization for Large-Scale Products With Multiresource Constraints Using Scatter Search and Petri Nets
Control of Uncertain High-Order Fully Actuated Strict-Feedback Systems: A Backstepping Approach With High-Gain Observer-Based Derivative Approximation
Secure Predictive Coordinated Control of High-Order Fully Actuated Networked Multiagent Systems Under Random DoS Attacks
Multiobjectivization of Single-Objective Optimization in Evolutionary Computation: A Survey
Robust Adaptive Tracking Control for Hypersonic Vehicle Based on Interval Type-2 Fuzzy Logic System and Small-Gain Approach
Distributed Quasiconsensus Control for Stochastic Multiagent Systems Under Round-Robin Protocol and Uniform Quantization
Two-Stage Cooperation Multiobjective Evolutionary Algorithm Guided by Constraint-Sensitive Variables
Asynchronous Partially Mode-Dependent Filtering of Network-Based MSRSNSs With Quantized Measurement
Recursive Least-Squares Temporal Difference With Gradient Correction
Block-Level Knowledge Transfer for Evolutionary Multitask Optimization
Coupled Deep Autoencoder for Single Image Super-Resolution
Canonical Correlation Analysis With L 2, 1 -Norm for Multiview Data Representation
Stackelberg-Theoretic Approach for Performance Improvement in Fuzzy Systems
Dynamic IQC-Based Control of Uncertain LFT Systems With Time-Varying State Delay
Handling Constrained Multiobjective Optimization Problems via Bidirectional Coevolution
Predefined-Time Output-Feedback Leader-Following Consensus of Pure-Feedback Multiagent Systems
Data-Driven Robust Finite-Iteration Learning Control for MIMO Nonrepetitive Uncertain Systems
Finite-Time Control for Robust Tracking Consensus in MASs With an Uncertain Leader
Effects of Preview on Human Control Behavior in Tracking Tasks With Various Controlled Elements
NN Reinforcement Learning Adaptive Control for a Class of Nonstrict-Feedback Discrete-Time Systems
Task-Based Decomposition of Factored POMDPs
An Integrated Reliability Estimation Approach With Stochastic Filtering and Degradation Modeling for Phased-Mission Systems
A New Settling-time Estimation Protocol to Finite-time Synchronization of Impulsive Memristor-Based Neural Networks
An Orthogonal Evolutionary Algorithm With Learning Automata for Multiobjective Optimization
Personalized Online Adaptation of Kinematic Synergies for Human-Prosthesis Interfaces
Human Collaborative Control of Lower-Limb Prosthesis Based on Game Theory and Fuzzy Approximation
Universal Fuzzy Integral Sliding-Mode Controllers for Stochastic Nonlinear Systems
Unsupervised Topic Hypergraph Hashing for Efficient Mobile Image Retrieval
New Admissibility and Admissibilization Criteria for Nonlinear Discrete-Time Singular Systems by Switched Fuzzy Models
Reliable Decentralized Control of Fuzzy Discrete-Event Systems and a Test Algorithm
Observer-Based Human-in-the-Loop Optimal Output Cluster Synchronization Control for Multiagent Systems: A Model-Free Reinforcement Learning Method
Distributed Economic Control of Dynamically Coupled Networks
Event-Triggered Controller Design With Varying Gains for T-S Fuzzy Systems
Periodic Event-Triggered Optimal Output Consensus of Heterogeneous Multiagent Systems Subject to Communication Delays
Hidden Markov Model-Based Nonfragile State Estimation of Switched Neural Network With Probabilistic Quantized Outputs
Non-Fragile Exponential H ∞ Control for a Class of Nonlinear Networked Control Systems With Short Time-Varying Delay via Output Feedback Controller
A Knee-Guided Evolutionary Algorithm for Compressing Deep Neural Networks
A Cyber-Physical System-Based Velocity-Profile Prediction Method and Case Study of Application in Plug-In Hybrid Electric Vehicle
DDPG-Based Adaptive Robust Tracking Control for Aerial Manipulators With Decoupling Approach
Hierarchical Controller-Estimator for Coordination of Networked Euler-Lagrange Systems
Event-Based Tracking Consensus for Multiagent Systems With Volatile Control Gain
Neural-Network-Based Output-Feedback Control Under Round-Robin Scheduling Protocols
Adaptive Fault Estimation for T-S Fuzzy Interconnected Systems Based on Persistent Excitation Condition via Reference Signals
Bi-Level Semantic Representation Analysis for Multimedia Event Detection
Low-Rank and Sparse Decomposition With Mixture of Gaussian for Hyperspectral Anomaly Detection
Noise Robust Face Image Super-Resolution Through Smooth Sparse Representation
DisEHPPC: Enabling Heterogeneous Privacy-Preserving Consensus-Based Scheme for Economic Dispatch in Smart Grids
Bipartite Fixed-Time Output Consensus of Heterogeneous Linear Multiagent Systems
Neural Network-Based Adaptive Leader-Following Consensus Control for a Class of Nonlinear Multiagent State-Delay Systems
An Enhanced Detection Scheme and Distributed Resilient Asynchronous Event-Triggered Control of AC Microgrids Subject to Replay Attacks
Output-Feedback Global Consensus of Discrete-Time Multiagent Systems Subject to Input Saturation via Q-Learning Method
Industrial Metaverse for Smart Manufacturing: Model, Architecture, and Applications
Pinning Control of Multiplex Dynamical Networks Using Spectral Graph Theory
Neural-Network-Based Sliding-Mode Control of an Uncertain Robot Using Dynamic Model Approximated Switching Gain
Resilient H∞ State Estimation for Discrete-Time Stochastic Delayed Memristive Neural Networks: A Dynamic Event-Triggered Mechanism
Distributed Cooperative Compound Tracking Control for a Platoon of Vehicles With Adaptive NN
A Multi-Population Multi-Objective Evolutionary Algorithm Based on the Contribution of Decision Variables to Objectives for Large-Scale Multi/Many-Objective Optimization
Compositional Model-Based Sketch Generator in Facial Entertainment
Memristive Circuit Design of Brain-Like Emotional Learning and Generation
Positive and Unlabeled Multi-Graph Learning
Kernel Correntropy Conjugate Gradient Algorithms Based on Half-Quadratic Optimization
Multigranularity Data Analysis With Zentropy Uncertainty Measure for Efficient and Robust Feature Selection
Correntropy Matching Pursuit With Application to Robust Digit and Face Recognition
Robust Synchronization Control of Switched Networked Euler-Lagrange Systems
PEGA: A Privacy-Preserving Genetic Algorithm for Combinatorial Optimization
Optimal Innovation-Based Stealthy Attacks in Networked LQG Systems With Attack Cost
FG-Net: A Fast and Accurate Framework for Large-Scale LiDAR Point Cloud Understanding
A Multimodal Emotional Human-Robot Interaction Architecture for Social Robots Engaged in Bidirectional Communication
Bridging the Micro and Macro: Calibration of Agent-Based Model Using Mean-Field Dynamics
Offline Reinforcement Learning With Behavior Value Regularization
Fuzzy-Rough Cognitive Networks: Theoretical Analysis and Simpler Models
H ∞ Cluster Formation Control of Networked Multiagent Systems With Stochastic Sampling
Solving Many-Objective Optimization Problems by a Pareto-Based Evolutionary Algorithm With Preprocessing and a Penalty Mechanism
Illumination-Invariant Flotation Froth Color Measuring via Wasserstein Distance-Based CycleGAN With Structure-Preserving Constraint
A Novel Edge Laplacian-Based Approach for Adaptive Formation Control of Uncertain Multiagent Systems With Unified Relative Error Performance
Constrained Low-Rank Representation for Robust Subspace Clustering
Truncation Error Analysis on Reconstruction of Signal From Unsymmetrical Local Average Sampling
A Neurodynamic Approach to Distributed Optimization With Globally Coupled Constraints
Dynamic Event-Triggered Output Feedback Separation Design for Networked Control Systems
A Transfer Learning-Based Multi-Instance Learning Method With Weak Labels
Event-Driven Connectivity-Preserving Coordinated Control for Multiple Spacecraft Systems With a Distance-Dependent Dynamic Graph
Fast Covariance Matrix Adaptation for Large-Scale Black-Box Optimization
A Nonlinear Adaptive Level Set for Image Segmentation
Scale-Free Loopy Structure is Resistant to Noise in Consensus Dynamics in Complex Networks
Advancing Imbalanced Domain Adaptation: Cluster-Level Discrepancy Minimization With a Comprehensive Benchmark
Kullback-Leibler Control in Boolean Control Networks
Risk Intelligence in Big Data Era: A Review and Introduction to Special Issue
Finite-Time Fuzzy Adaptive PPC for Nonstrict-Feedback Nonlinear MIMO Systems
Multilabel Classification With Group-Based Mapping: A Framework With Local Feature Selection and Local Label Correlation
Distributed Heuristic Adaptive Neural Networks With Variance Reduction in Switching Graphs
TTSA: An Effective Scheduling Approach for Delay Bounded Tasks in Hybrid Clouds
3-D RoI-Aware U-Net for Accurate and Efficient Colorectal Tumor Segmentation
A Dynamic Gain Approach to Consensus Control of Nonlinear Multiagent Systems With Time Delays
Robust Stabilization of Time-Varying Nonlinear Systems With Time-Varying Delays: A Fully Actuated System Approach
Locally Minimum-Variance Filtering of 2-D Systems Over Sensor Networks With Measurement Degradations: A Distributed Recursive Algorithm
Tensorial Multiview Representation for Saliency Detection via Nonconvex Approach
Active Full-Vehicle Suspension Control via Cloud-Aided Adaptive Backstepping Approach
Multiple Transformation Matrix-Based Adaptive Projective Vortex Formation Tracking for Multiagent Systems With a Leader of Completely Unknown Input