The Control System Design of the Pod Based on Fuzzy-PID
When the pod works in the air, pod can produce the overshoot and stability. To solve this problem, the study demonstrates that the fuzzy-PID was used to control the pod. Simulink simulation module of Matlab was using to establish a control system model pod exterior orientation framework to verify the simulation, anti-jamming performance and tracking performance of the system. The results show that fuzzy PID control method can make the system have good stability, noise immunity and tracking capability.
Intrusion prospects in cloud paradigm are many and with high gains, may it be a bad user or a competitor of cloud client. Distributed model makes it vulnerable and prone to sophisticated distributed intrusion attacks like Distributed Denial of Service (DDOS) and Cross Site Scripting (XSS). Confronting new implementation situations, traditional IDSs are not well suited for cloud environment. To handle large scale network access traffic and administrative control of data and application in cloud, a new multi-threaded distributed cloud IDS model has been proposed. Our proposed cloud IDS handles large flow of data packets, analyze them and generate reports efficiently. Transparent reports are instantly send for information of cloud user and expert advice for cloud service provider’s network misconfigurations through a third party IDS monitoring and advisory service.