Abstract: This article proposes the dynamic event-triggered and self-triggered protocols to achieve the prescribed-time consensus of a class of nonlinear multi-agent systems with a trade-off ...

The increasing penetration of photovoltaic (PV) systems into modern energy grids has made efficient energy extraction from solar panels a critical concern.

How do we move past small pilots to measurable impact, and how do we build trusted AI systems to power mission outcomes?

Abstract: Interfaces with peripheral nerves have been widely developed to enable bioelectronic control of neural activity. Peripheral nerve neuromodulation shows great potential in addressing motor ...

Abstract: This paper proposes a hierarchical safe reinforcement learning with prescribed performance control (HSRL-PPC) scheme to address the challenges of interconnected leader-follower systems ...

Changing interactions between the smallest particles at the touch of a button: Quantum researchers at RPTU have developed a new tool that makes this possible. The new approach—a temporally oscillating ...

Emerson is expanding its DeltaV Automation Platform with the DeltaV version 15 Feature Pack 3 update for its distributed control system. Users now have access to the ...

Abstract: With the increase of motor control performance requirements, active disturbance rejection control methods are widely used in motor control systems to improve the disturbance rejection ...

Abstract: This paper investigates a fixed-time consensus control problem of nonlinear multi-agent systems under full-state constraints. First, by designing corresponding constraint functions for ...

Abstract: The existing adaptive iterative learning control approaches with variable constraints mainly consider the matched uncertainties and only ensure the boundedness of parameter estimation errors ...

The authors recommend that future development of MAS prioritize dynamic organizational structures capable of adapting as ...

Abstract: This study explores the issue of observer-based adaptive finite-time resilient control for a class of uncertain strict-feedback nonlinear systems that have unknown sensor deception attacks ...