Adaptive neural network fixed-time formation control of unmanned ground vehicles
September 2026
This paper is concerned with the fixed-time formation control problem of unmanned ground vehicles. The essential work of this paper is the development of a practical fixed-time formation control strategy...
A dynamic weighted deep-broad learning architecture for wind power interval prediction
September 2026
Predicting wind power is essential for the stable and economical operation of power grids. Traditional point forecasts often struggle to capture volatility, while wind power interval prediction (WPIP)...
Supervisory control of Petri nets with uncontrollable and unobservable transitions under replacement attacks
September 2026
In this paper, we study the robust control of discrete event systems modeled by Petri nets with uncontrollable and unobservable transitions under replacement attacks. The existing supervisory control...
Global quantized output feedback control of nonlinear systems under non-Lipschitz condition
September 2026
In this paper, a novel backstepping-based output feedback control algorithm is developed for uncertain nonlinear systems subject to both input and output quantization, while ensuring the prescribed...
Prescribed performance robust output regulation of uncertain Euler–Lagrange systems via self-learning mechanism
September 2026
This paper addresses the prescribed performance robust output regulation problem for Euler–Lagrange systems, where real-time reference signal information (such as position, velocity, and acceleration)...
Generation of periodic steady-state dynamics of a hyperbolic PDE system via boundary actuation
September 2026
The primary concern of the work is to cause forced oscillations for wave propagation by acting on its boundary. In practice, oscillations become useful, for example, in realizing a flexible cable when...
Research on model-free adaptive trajectory tracking cooperative control method of dual-arm
September 2026
Addressing the problem of trajectory tracking accuracy degradation caused by high-degree-of-freedom dynamic coupling, model uncertainty, and communication delay in dual-arm cooperative systems, this...
Region-weighted gradient and motion-aware camera exposure control for robust visual odometry
September 2026
Visual odometry (VO) often suffers from performance degradation in high dynamic range (HDR) scenarios due to uneven illumination conditions, adversely affecting localization accuracy. To address this...
Reservoir-enhanced adaptive control of robot manipulators with actuator-wise unknown control directions
Available online 25 September 2026
This paper addresses adaptive tracking control of robot manipulators with actuator-wise unknown control directions and uncertain dynamics. The proposed controller combines multiple-Nussbaum functions...
Analytical derivation of Lyapunov functions using Lyapunov Kolmogorov-Arnold Networks (L-KANs)
Available online 23 September 2026
This paper presents a solution for the automatic derivation of analytic Lyapunov functions for dynamical systems, making use of Kolmogorov-Arnold networks (KANs) as a symbolic regression tool. We propose...
Data-driven control for continuous-time linear systems via integral reinforcement learning: An overview
Available online 22 August 2026
Model-based control methods for linear systems are well-established across a variety of control problems. However, their application to practical systems faces significant challenges due to the scarcity...
Adaptive motorized LiDAR scanning control for robust localization with OpenStreetMap
Available online 17 August 2026
LiDAR-to-OpenStreetMap (OSM) localization has gained increasing attention, as OSM provides lightweight global priors such as building footprints. These priors enhance global consistency for robot navigation,...
SINDy-Former: Data-driven identification of sparse dynamical models via cross-attention
Available online 17 August 2026
Identifying compact, interpretable models for nonlinear dynamical systems solely from the analysis of noisy measurements is an open challenge in modern system identification. Symbolic regression methods,...
Reinforcement learning navigation strategy for Unmanned Vehicles with multimodal sensing fusion
Available online 14 August 2026
To address the issues that single-sensor Unmanned Vehicles are prone to environmental constraints in navigation and obstacle avoidance tasks, and that reinforcement learning-based navigation and obstacle...
Cluster–bipartite output consensus of singular heterogeneous multi–agent systems under cooperation–competition networks
Available online 11 August 2026
This paper investigates the distributed cluster-bipartite output consensus problem for singular heterogeneous linear multi-agent systems under cooperative-competitive communication networks. Different...
Attention mechanisms in Spiking Neural Networks: From neural encoding to hardware implementation
Available online 20 July 2026
Spiking Neural Networks (SNNs) offer a biologically grounded and energy-efficient alternative to conventional deep learning, yet have historically struggled to match the representational power of Artificial...
Fuzzy adaptive prescribed performance coded event-triggered control for switched nonlinear systems
Available online 15 July 2026
This paper proposes a fuzzy adaptive control prescribed performance coded event-triggered method for switched nonlinear systems. The objective is to achieve prescribed-time convergence under unknown...
Prescribed-time bipartite consensus control of multi-agent systems with enhanced transient performance guarantees
Available online 2 July 2026
This paper proposes a prescribed-time bipartite consensus control of multi-agent systems subject to limited communication resources. Specifically, a tunnel-type prescribed performance method is constructed...
A survey of safety control for service robots
June 2026
Safety constitutes the fundamental bottleneck in human–robot integration, particularly for service robots operating in unstructured environments. This survey systematically reviews the research progress...
Leader–follower consensus of nonlinear multi-agent systems under DoS attack based on edge-event triggered mechanisms
June 2026
Consider that nonlinear terms for multi-agent systems (MASs) exist and information transmission among agents is interrupted by denial-of-service (DoS) attacks, the paper focuses on the leader–follower...
Security stabilization for switched systems via dynamic sampling strategies
June 2026
This paper investigates the problem of state feedback stabilization for a class of planar switched nonlinear systems (PSNSs) subject to Denial-of-Service (DoS) attacks. By incorporating a technique...
Adaptive identification of distributed parameters in nonlinear PDE setting: Sine-Gordon case study
June 2026
The primary concern of the work is to develop adaptive identification approach to uncertain dynamic systems governed by nonlinear partial differential equations. The well-known nonlinear sine-Gordon...
Dynamic carbon emission flow tracking with a new optimal storage schedule for power grids
June 2026
With the global drive toward carbon neutrality, the deep integration of variable renewable energy sources (VRES) and energy storage systems (ESS) has rendered traditional static carbon accounting methods...
Learning symbolic models of dynamical systems through Kolmogorov–Arnold Networks (KANs) in centralized and distributed settings
June 2026
Identifying an interpretable and tractable model is a crucial step for the analysis and control of dynamical systems. In this work, we employ the recently introduced Kolmogorov–Arnold Networks (KANs),...
Learning minimum-time flight control for fixed-wing UAVs in three-dimensional space with high-fidelity 6-DOF dynamics
June 2026
Minimizing flight time while ensuring stability and efficiency presents a significant challenge in UAV control. This paper introduces velocity-level and actuator-level control approaches for addressing...