A5012345545- Advanced Control Systems Optimization
- Adaptive Control of Nonlinear Systems
- Real-time simulation and control systems
- Error Correcting Code Techniques
- Traffic control and management
- Traffic Prediction and Management Techniques
- Coding theory and cryptography
- Mobile Ad Hoc Networks
- Advanced Wireless Communication Techniques
- Cellular Automata and Applications
- Iterative Learning Control Systems
- Fault Detection and Control Systems
- Advanced Battery Technologies Research
- Multilevel Inverters and Converters
- Transportation Planning and Optimization
- Control Systems and Identification
- Energy Harvesting in Wireless Networks
- Network Security and Intrusion Detection
- Advanced Data Storage Technologies
- Opportunistic and Delay-Tolerant Networks
- Model Reduction and Neural Networks
- Guidance and Control Systems
- Autonomous Vehicle Technology and Safety
- Child Development and Digital Technology
- Digital Marketing and Social Media
Zhongyuan University of Technology
2024-2025
South China University of Technology
2022-2024
Beijing Institute of Technology
2020
Designing a stable and robust flight control system for an Unmanned Aerial Vehicle (UAV) is arduous task. This paper addresses the trajectory tracking problem of Ducted Fan UAV (DFUAV) using offset-free Model Predictive Control (MPC) technique in presence various uncertainties external disturbances. The designed strategy aims to ensure adequate robustness stability while overcoming effects time delays, parametric uncertainties, six degrees freedom DFUAV model divided into three modes based...
Polar codes have garnered substantial research attention due to their impressive performance characteristics and found applications in recent technologies, including 5G New Radio (NR) systems, Internet of Things (IoT) communications, cyber-physical systems that utilize sensor actuator networks. However, the existing SC decoders suffer from lengthy processing latencies sequential steps, thereby restricting practical applicability polar codes. To address this latency issue, paper introduces a...
This article compares the conventional model predictive control (MPC) and active disturbance rejection (ADRC) with a novel MPADRC technique for controlling non-minimum phase behavior in DC–DC boost converter. The of converter is challenging as it nonlinear, shows continuous conduction mode (CCM). Moreover, this article, comparison presented two-phase interleaved using MPC ADRC, effectiveness interleaving shown. Finally, proved that method has much more efficiency less output ripple than...
This paper proposes a model predictive control (MPC) approach for ducted fan aerial robots using physics-informed machine learning (ML), where the task is to fully exploit capabilities of design with an accurate dynamic by means hybrid modeling technique. For this purpose, indigenously developed miniature vehicle adequate flying used. The dynamical derived offline considering forces and moments acting on platform. On basis model, data-driven ML called adaptive sparse identification nonlinear...
This paper presents a novel holistic T-shape roundabout coordination system (TCS) that addresses the connected and automated vehicles (CAVs) flow in typically isolated roundabout. The TCS optimizes states of each approaching vehicle receding horizon control framework aims to minimize total crossing time, considering vehicles' dynamic states. method ensures comfortable by retaining basic features traditional traffic management system. optimal are broadcasted ahead TCS, which enables CAVs form...
This article proposes a reliable and secured polar coding for the network-oriented cloud control system (NOCCS) in context of security, reliability, scalability. A low-complexity variant 3-D chaos is proposed to accomplish internal chaos-encryption-based orthogonal frequency division multiplexing over an active power network (OFDM-AON) ensure reliability security NOCCS. Internal encryption achieved by disrupting correlation information bits index frozen along with subcarrier three chaotic...
Advancing the efficiency and reliability of wireless sensor networks is a paramount pursuit in modern networking research. In this context, we introduce groundbreaking approach based on Hidden Markov Chain (HMC) modeling with opportunistic routing, harnessed by Carrier Sense Multiple Access Collision Avoidance (CSMA/CA) mechanism. Our innovative algorithm addresses key challenges Wireless Body Area Networks, including delay, throughput, bandwidth utilization. By strategically integrating HMC...
Designing an efficient learning-based model predictive control (MPC) framework for ducted-fan unmanned aerial vehicles (DFUAVs) is a difficult task due to several factors involving uncertain dynamics, coupled motion, and unorthodox aerodynamic configuration. Existing techniques are either developed from largely known physics-informed models or made specific goals. In this regard, article proposes compound MPC approach DFUAVs construct suitable that exhibits dynamics learning capability with...