###### Abstract
A new fuzzy sliding surface is established with a reformed state estimator, and novel adaptive fuzzy reaching motion controller synthesis is carried out to force the state trajectories onto the designated sliding surface in limited moments [7]. This paper studies the current sharing and voltage balancing problems of direct current microgrids (DC-MGs) consisting of distributed generation units (DGUs) connected by a communication network. The main challenge is that the DC-MG model is prone to unknown dynamic models and external disturbances [8], and this paper introduces a comprehensive review about the most recent advances in the design and implementation of type-2 fuzzy control schemes both for integer- and fractional-order systems [9]. In this article, an intelligent system utilizing type-3 fuzzy logic for automated image quality tuning in televisions is presented. The tuning problem can be formulated as controlling the television imaging system to achieve the requirements of production quality. Previously, the tuning process has been carried out by experts, by manually adjusting the television and imaging system on production lines to meet quality control standards [10]. The most prominent utilization of fuzzy logic is in the process of building controllers, which must generate outputs to act on certain mechanisms based on given inputs. The purpose of fuzzy controllers is simply to employ control strategies performed by human beings. Strategies in conventional PID (proportional integral derivative) control systems are expressed through mathematical functions, whereas systems based on fuzzy logic can more effectively control processes governed by intuitive rules that are difficult to express through complex mathematical constructs. Their great advantage lies in their ease of modification. Fuzzy control systems are the focus of interesting applications of fuzzy logic in the recent development of technological and industrial systems: an optimization approach is proposed to solve the problem that too many fuzzy control parameters are not easy to adjust. An MRMS composed of a ship model and a dual parallel elastic underactuated mooring robot is used to conduct experiments in terms of different motion-inhibition control methods [11], and this paper develops an event-triggered adaptive fuzzy control (AFC) scheme for stochastic nonlinear time-delay systems. With the aid of an event-triggered mechanism, the salient superiority involves reducing the data transmission and communication burden [12]. A type-2 fuzzy multi-objective evolutionary algorithm based on decomposition is used to optimize the proposed model and an adaptive large neighborhood search to enhance the local neighbor search mechanism. Additionally, by utilizing the nadir reference point, the distribution of Pareto front approximation is improved. Furthermore, a new metric is introduced to evaluate the dispersion of Pareto front approximation. The proposed method is compared to three other state-of-the-art evolutionary algorithms using 11 different performance metrics for validation [13]. Another paper presents the mitigation of subsynchronous resonance (SSR) based on a wide-area fuzzy controller in power systems including double-fed induction generator (DFIG)-based wind farms linked to series capacitive compensated transmission networks [14]. The proposed algorithm is employed to solve the problem based on routing associated with the time window for the heterogeneous fleet of the e-waste collection vehicle, and the approach is provided for the online system that enables people to request for the collection of e-waste components and also to solve the vehicle's routing problem. The optimization result demonstrates the decrease in the collection cost and the on-time e-waste collection from a household [15]. This paper contributes to command filtered adaptive fuzzy control (AFC) of fractional-order nonlinear systems (FNSs) by using the fractional backstepping control method. To approximate the virtual input, a fractional-order command filter (FCF) is proposed in [16].