IEEE

Model-Free H∞ Optimal Hierarchical Control of Heterogeneous Multiagent Systems via Adaptive Dynamic Programming

Abstract: This article investigates the $H_{\infty } $ optimal output-feedback control problem of heterogeneous multiagent systems. First, a hierarchical control ...
IEEE

A Hybrid Method Based on Multi-Agent Reinforcement Learning and Integer Programming for Dynamic Slab Design Problems in Steel Industry

Abstract: This paper investigates a dynamic slab design problem in the steel industry, where order demands arrive dynamically during a given period. Slabs are the raw materials for producing order ...
IEEE

Augmented Differential Dynamic Programming for Humanoid Robot Flipping Motion Optimization

Abstract: Differential Dynamic Programming (DDP) is an efficient tool for non-linear optimal problems. And DDP shows a characteristic of fast convergence. However, the traditional DDP cannot solve the ...
IEEE

Dynamic Event-Triggered Optimal Consensus Fault-Tolerant Control for Unknown Stochastic Nonlinear Multi-Agent Systems With Time-Delays

Abstract: The optimal consensus fault-tolerant control (FTC) problem for unknown time-delays nonlinear stochastic multi-agent systems (MASs) with hybrid actuator faults is investigated via adaptive ...
IEEE

Event-Trigger Adaptive Dynamic Programming-Based Coordinate Control of Modular Unmanned System

Abstract: This paper presents a coordinate control approach for modular unmanned systems (MUS) based on event-triggered (ET) adaptive dynamic programming (ADP) within a nonzero-sum game (NZSG) ...
IEEE

Dynamic Perception-Enhanced Motion Planning and Control for UAVs Flights in Challenging Dynamic Environments

Abstract: The autonomous flights of unmanned aerial vehicles (UAVs) in unknown environments have garnered significant attention. However, most existing methods only achieve safe navigation in static ...
IEEE

Adyna: Accelerating Dynamic Neural Networks with Adaptive Scheduling

Abstract: Dynamic architecture neural networks (DynNNs) are an emerging type of deep learning models that can leverage different processing difficulties of data samples to dynamically reduce ...
aptn

Embracing Truth: APTN’s Special Programming for the National Day for Truth and Reconciliation

At the heart of APTN’s NDTR programming is Remembering the Children: National Day for Truth and Reconciliation, a 90-minute live national commemorative event co-produced by APTN, CBC/Radio-Canada and ...
Frontiers

Optimal portfolio selection in jump-uncertain stochastic markets via maximum principle and dynamic programming

1 Department of Statistics and Mathematics, Bindura University of Science Education, Bindura, Zimbabwe 2 Department of Mathematics, University of Botswana, Gaborone, Botswana This study develops a ...
IEEE

Large-Scale Dynamic Adaptive Traffic Lights Scheduling Algorithm Based on Genetic Programming

Abstract: Intersections are the basic structure of traffic networks and the main locations of traffic congestion in cities. How to maximize the throughput of intersections and prevent vehicle ...
IEEE

Dynamic Model-Assisted Transfer-Coupled Dictionary Learning Strategy for Bearing Cross-Domain Fault Diagnosis

Abstract: Bearing cross-domain fault diagnosis (CDFD) remains challenging due to the significant domain discrepancy in different bearing data. A novel transfer-coupled dictionary learning (TCDL) ...