Autonomous Intelligent Systems
SCOPUS (2021-2023)
2730-616X
Cơ quản chủ quản: N/A
Lĩnh vực:
Các bài báo tiêu biểu
Exponentially convergent distributed Nash equilibrium seeking for constrained aggregative gamesAbstract Distributed Nash equilibrium seeking of aggregative games is investigated and a continuous-time algorithm is proposed. The algorithm is designed by virtue of projected gradient play dynamics and aggregation tracking dynamics, and is applicable to games with constrained strategy sets and weight-balanced communication graphs. The key feature of our method is ... ... hiện toàn bộ
- 2022
Online distributed tracking of generalized Nash equilibrium on physical networksAbstract In generalized Nash equilibrium (GNE) seeking problems over physical networks such as power grids, the enforcement of network constraints and time-varying environment may bring high computational costs. Developing online algorithms is recognized as a promising method to cope with this challenge, where the task of computing system states is replaced by direc... ... hiện toàn bộ
- 2021
Leveraging on non-causal reasoning techniques for enhancing the cognitive management of highly automated vehiclesAbstract Highly Automated Vehicles (HAVs) are expected to improve the performance of terrestrial transportations by providing safe and efficient travel experience to drivers and passengers. As HAVs will be equipped with different driving automation levels, they should be capable to dynamically adapt their Level of Autonomy (LoA), in order to tackle sudden and recurr... ... hiện toàn bộ
Tập 2 Số 1
Prediction for nonlinear time series by improved deep echo state network based on reservoir states reconstructionAbstract With the aim to enhance prediction accuracy for nonlinear time series, this paper put forward an improved deep Echo State Network based on reservoir states reconstruction driven by a Self-Normalizing Activation (SNA) function as the replacement for the traditional Hyperbolic tangent activation function to reduce the model’s sensitivity to hyper-parameters. ... ... hiện toàn bộ
Tập 4 Số 1
Remote collaborative process optimization in research and design of industrial manufacturing Abstract In response to the impact of COVID-19, the manufacturing industry and academic industrial research have largely shifted to online or hybrid conference formats. The sudden change has posed challenges for researchers and teams to adapt. Based on the current state of online conferences, inadequate communication, disruptions during meetings, confusion and loss ... ... hiện toàn bộ
Nonlinear optimal control for the 4-DOF underactuated robotic tower crane
Tập 2 - Trang 1-30 - 2022
Tower cranes find wide use in construction works, in ports and in several loading and unloading procedures met in industry. A nonlinear optimal control approach is proposed for the dynamic model of the 4-DOF underactuated tower crane. The dynamic model of the robotic crane undergoes approximate linearization around a temporary operating point that is recomputed at each time-step of the control met...... hiện toàn bộ
Decision making framework for autonomous vehicles driving behavior in complex scenarios via hierarchical state machine
Tập 1 - Trang 1-12 - 2021
With the development of autonomous car, a vehicle is capable to sense its environment more precisely. That allows improved drving behavior decision strategy to be used for more safety and effectiveness in complex scenarios. In this paper, a decision making framework based on hierarchical state machine is proposed with a top-down structure of three-layer finite state machine decision system. The up...... hiện toàn bộ
Machine learning techniques for robotic and autonomous inspection of mechanical systems and civil infrastructure
Tập 2 - Trang 1-25 - 2022
Machine learning and in particular deep learning techniques have demonstrated the most efficacy in training, learning, analyzing, and modelling large complex structured and unstructured datasets. These techniques have recently been commonly deployed in different industries to support robotic and autonomous system (RAS) requirements and applications ranging from planning and navigation to machine v...... hiện toàn bộ
Learning phase in a LIVE Digital Twin for predictive maintenance
Tập 2 - Trang 1-10 - 2022
Digital Twins are essential in establishing intelligent asset management for an asset or machine. They can be described as the bidirectional communication between a cyber representation and a physical asset. Predictive Maintenance is dependent on the existence of three data sets: Fault history, Maintenance/Repair History, and Machine Conditions. Current Digital Twin solutions can fail to simulate ...... hiện toàn bộ
Formation control of unmanned rotorcraft systems with state constraints and inter-agent collision avoidance
Tập 3 - Trang 1-12 - 2023
We present in this paper a novel framework and distributed control laws for the formation of multiple unmanned rotorcraft systems, be it single-rotor helicopters or multi-copters, with physical constraints and with inter-agent collision avoidance, in cluttered environments. The proposed technique is composed of an analytical distributed consensus control solution in the free space and an optimizat...... hiện toàn bộ