This article proposes an enhanced active disturbance rejection control (ADRC) method for the attitude deformation system of a self-developed mobile robot in conjunction with evolutionary game theory-based pigeon-inspired optimization (EGPIO). To achieve precise object, EGPIO is employed as automatic tuning mechanism ADRC, and simultaneously improves rapidity robustness controller. In this novel algorithm, individuals (PIO) adjust their strategies dynamically proceeds so to promote...

This paper develops a novel optimization method oriented to the resilience of multiple Unmanned Aerial Vehicle (multi-UAV) formations achieve rapid and accurate reconfiguration under random attacks. First, metric is applied reflect effect rapidity multi-UAV formation resisting Second, an model based on parameter problem maximize system established. Third, Adaptive Learning-based Pigeon-Inspired Optimization (ALPIO) algorithm designed optimize value. Finally, typical topologies with six UAVs...

This paper develops a novel approach to addressing the distributed situation awareness (SA) consensus problem for unmanned aerial vehicle (UAV) swarm systems. SA is an important condition gaining decision-making superiority. However, because of complexity and antagonism mission environment, widely employed centralized architectures are unable reach consensus. We address this urgent issue by proposing systematic scheme, including optimization-based reaching model, dual-loop framework,...

The advent of cyber-physical production systems (CPPSs) has greatly improved responsiveness. However, effective control and decision-making in CPPSs remain challenging due to the dynamic nature both internal operations external environments. We present a multiobjective optimization approach for managing operation, maintenance, support decisions under time-varying demands. Specifically, framework is developed enable collaborative control, incorporating reliability-based risk assessment...

Multiple unmanned aerial vehicle (multi-UAV) system is a type of dynamic spatio-temporal IoT and susceptible to destruction from the external environment. Meanwhile, resilience theory has been introduced describe ability UAVs faced with disturbances. However, existing methods do not fully reflect characteristics multi-UAV systems. Therefore, we proposed novel metric that integrates mission coverage area communication status On basis, combination importance measures for vulnerability,...

Reliability modeling in the context of Internet Things (IoT) has received considerable attention from researchers to ensure safety and stable operation relevant systems. However, current methods reliability are incapable adequately characterizing autonomy cooperativity Dynamic Spatiotemporal IoT (DSIoT). To solve this problem, study proposes an agent-based method modeling. The authors discuss DSIoT case failure summarize 11 typical states its functional components. We then develop a...

A complex human-machine system (CHMS) consists of heterogeneous components with extensive interactions.CHMSs are typical multistate systems the ability to adapt disturbances such as machine failures.These characteristics must be considered comprehensively accurately evaluate reliability and performance a CHMS.However, existing literature scarcely considers both simultaneously.In this paper, we propose an agent-based approach model CHMS.First, general modeling framework for CHMS is generated...

Abstract Fault diagnosis and prediction for complex control systems rely either on the collection of rich data training neural networks or system models prior knowledge faults. These methods are difficult to apply directly in integrated due large uncertainties practical scenarios. A new fault technique that is based extended state observer (ESO) a hidden Markov model (HMM) proposed this paper. Real‐time predictive information obtained by ESO active disturbance rejection (ADRC) utilized...

The utilization of multiple unmanned aerial vehicles (multi-UAVs) greatly enhances the quality public services, whereas presents challenges to effective mission planning. Existing research predominantly concentrates on task allocation and path planning, with limited emphasis integrating UAV deployment allocation. Despite promise learning-based approaches for joint optimization, their applicability sim-to-real problems remains restricted. In this paper, we propose a hierarchical...

Effective task assignment decisions are paramount for ensuring reliable execution in multi-UAV systems. However, the development of feasible plans, challenges stemming from extensive and prolonged requirements encountered. This paper establishes a decision-making framework multiple unmanned aerial vehicles (multi-UAV) based on well-known pigeon-inspired optimization (PIO) algorithm. By addressing problem hierarchical structural perspective, initial stage involves minimizing global objective...

The increasing use of smart devices has emphasized the critical role maintenance in production activities. Interactive Electronic Technical Manuals (IETMs) are vital tools that support equipment. However, traditional IETMs face challenges such as transitioning from Graphical User Interfaces (GUIs) to natural Language (LUIs) and managing complex logical relationships. Additionally, they must meet current demands for higher intelligence. This paper proposes a Maintenance Scheme Generation...

This paper analyzes the one-leader-multi-followers unmanned aerial vehicles (UAV) security game with misperception. In leader-follower UAV game, solution concept under misperceptions can be defined as Misperception Strong Stackelberg Equilibrium (MSSE). However, by observing other strategies, players may realize misperception, which makes not trust their current cognition any longer. Therefore, this proposes a model that leader drone is aware of observed differences but all follower drones...

The situation awareness consensus is a critical and challenging problem for an autonomous collaborative unmanned group system. current model based on centralized framework, which not suitable large-scale systems. In this paper, distributed established, includes the preference expression in individual perception stage, adjustment system collaboration stage. On such basis, novel optimization algorithm proposed to coordinate heterogeneous of individuals with different intelligence levels...