No abstract

Alongside the rapid advancement of technology, researchers are looking for accurate, flexible, and efficient ways to control systems. One big breakthrough in technology is the PID and its following advancement which is FOPID controller. The PID controller is becoming widely used due to its simplicity and cost-effectiveness, while the latter is more desirable because of its accuracy and flexibility. The parameters of the aforementioned controllers have an enormous effect on the transient responses. For instance, the settling time, rising time, Integral Absolute Error (IAE), and overshooting are greatly influenced by the controller parameters. However, the most difficult problem in delivering the active case of the transient response of any system is the tuning of system parameters. Ziegler-Nicolas (ZN), recursive least squares (RLS) for tuning PID controller, while Pole Placement, and Pole Distribution for tuning FOPID are some examples of classical algorithms that are utilized previously to tackle this problem. Recently, the optimization methods have been employed to tune these parameters in order to have a more stable controller system. This systematic literature review (SLR) will take into consideration various optimization methods that tackled this problem. Methods like PSO, GA and ACO are the most utilized in tackling this problem. This paper will be an introductory guide to other researchers which will immensely help in their metaheuristic method selection.

Nowadays Artificial Intelligence (AI) and studies dedicated to this field are gaining much attention worldwide. Although the growth of AI technology is perceived as a positive development for the industry, many factors are being threatened. One of these factors is security, especially network security. Intrusion Detection System (IDS) which provides real-time network security has been recognized as one of the most effective security solutions. Moreover, there are various types of Neural Networks (NN) approaches for IDS such as ANN, DNN, CNN, and RNN. This survey mainly focuses on the CNN approach, whether individually used or along with another technique. It analyses 81 articles that were carefully investigated based on a specific criterion. Accordingly, 28 hybrid approaches were identified in combination with CNN. Also, it recognized 21 evaluation metrics that were used to validate the models, as well as 12 datasets.