Quadrotor systems are becoming increasingly popular in various applications due to their maneuverability and versatility. Controlling these systems accurately is crucial to ensure stability and safety. This research paper proposes the implementation of two advanced controllers with integer and fractional order quadrotor systems. The purpose of the study is to enhance the control performance, robustness, and accuracy of the quadrotor system, and to highlight the potential of the proposed approach in modern control engineering. The researchers used simulation studies in MATLAB to verify the effectiveness of their approach. The results demonstrate that the implementation of Sliding Mode Control (SMC) and Fractional Order Sliding Mode Control (FOSMC) with the fractional order quadrotor system outperforms the traditional integer order quadrotor system in terms of control performance, robustness, and accuracy. Overall, the study highlights the potential of fractional order modeling and fractional order control techniques in improving the performance of quadrotor systems, which has significant implications for the advancement of modern control engineering.

In order to effectively manage logistics and the supply chain, warehouses must adapt to the rising demands of information integration, speed and precision. As a viable choice for the growth of warehouses in the future, the “smart warehouse” system, which is linked with emerging warehousing innovations, is progressively attracting the attention of technology and industry elites. In this study, we have designed an Autonomous Vehicle-based Storage and Retrieval (AVS/R) system that receive, store, retrieve, and ship items in a warehouse. The design is based on using an Autonomous Guided vehicle that navigate through the warehouse landmarks, to transport items between I/O Port and the Storage Unit. The system components communication is based on the Internet of Things publish/subscribe massaging protocol MQTT also ensuring remote monitoring and control of the process through data stored in cloud. Overall, the proposed solution provides a flexible, scalable, efficient, and integrated warehouse solution.

Multi-agent systems (MAS) are composed of multiple autonomous agents that interact and collaborate to achieve common objectives. These systems are characterized by their decentralization, scalability, robustness, and the local perspectives of individual agents. In the realm of quadrotor applications, MAS can perform complex tasks such as formation flying, surveillance, search and rescue, and cooperative payload transport. The control of such systems often involves techniques like trajectory planning, consensus algorithms, formation control, and obstacle avoidance. This study introduces a multi-agent quadrotor system controlled using sliding mode backstepping control (SMBC), which combines the advantages of backstepping and sliding mode control to ensure stability and robustness. The novel aspect of this research is the transformation of the leader quadrotor into a fractional-order system (FOS) while maintaining the followers as integer-order systems, all controlled using the same SMBC method. MATLAB simulations validate that the fractional-order leader (FOL) achieves superior trajectory tracking compared to the integer-order leader. Furthermore, the followers tracking the fractional-order leader exhibit enhanced performance, with reduced tracking errors and quicker response times. These findings demonstrate the potential advantages of incorporating fractional-order dynamics into multi-agent control systems.