A Memristive Spiking Neural Network Circuit for Bio-inspired Navigation Based on Spatial Cognitive Mechanisms.

Cognitive navigation, a high-level and crucial function for organisms' survival in nature, enables autonomous exploration and navigation within the environment. However, most existing works for bio-inspired navigation are implemented with non-neuromorphic computing. This work proposes a bio-inspired memristive spiking neural network (SNN) circuit for goal-oriented navigation, capable of online decision-making through reward-based learning.

Master-Slave Cooperation for Multi-DC-MGs via Variable Cyber Networks.

The reliability of the microgrid (MG) can be improved by interconnecting MGs that are in close proximity, because the power shortfall in one MG can be compensated by the excess power available from other interconnected MGs. For multiple dc MG clusters consisting of a large number of heterogeneous distributed generators (DGs), this article establishes a master-slave cooperation framework containing a two-layer voltage estimator. All master-DGs implement current economical allocation among multiple MG clusters and drive their respective slave-DGs to realize current sharing accuracy.

Double-integrator control for MASs with small switching dwell time.

Distributed consensus tracking under variable communication network is an important research topic of multi-agent systems (MASs). Many results have been obtained for consensus of MASs with switching networks that are either jointly connected or periodically connected, but it remains challenging when the disconnected switching topologies are activated more frequently than the connected ones. This paper investigates both the consensus tracking and average consensus tracking problems for double-integrator MASs under switching topologies.

Delay-tolerant distributed voltage control for multiple smart loads in AC microgrids.

With increasing penetration of variable loads and intermittent distributed energy resources (DERs) with uncertainty and variability in distribution systems, the power system gradually inherits some features (e.g., lack of rotating inertia), which leads to the voltage instability in microgrids.

Finite-Time Control for Robust Tracking Consensus in MASs With an Uncertain Leader.

This paper investigates the finite-time control for robust tracking consensus problems of multiagent systems with an uncertain leader for situations where the state of the considered active leader may not be measured and the directed network topology is time-varying. Based on the neighbor-based state-estimation rule and a new Lyapunov stability analysis method, a continuous and nonlinear distributed tracking protocol using only relative position information is designed, under which each agent can follow the leader in finite time if the input (acceleration) of the leader is known, and the tracking errors can converge to a bounded region in finite time if the input of the leader is unknown. In particular, a special continuous distributed tracking protocol with bounded control inputs is introduced to track the active leader in finite time.