in this paper, an adaptive neuro fuzzy inference system (anfis) based control is proposed for the tracking of a micro-electro mechanical systems (mems) gyroscope sensor. the anfis is used to train parameters of the controller for tracking a desired trajectory. numerical simulations for a mems gyroscope are looked into to check the effectiveness of the anfis control scheme. it proves that the sy...

In this paper, the problem of distributed adaptive consensus tracking control for second-order nonlinear heterogeneous multi-agent systems (MASs) with input quantization is considered. A output feedback scheme based on a K-filter developed to suppress influences unknown disturbances and quantization. contrast existing approaches, an additional design parameter introduced into controller ensure ...

This paper concerns the problem of output consensus in nonlinear non-minimum phase systems. The main contribution of the paper is to guarantee achieving consensus in the presence of unstable zero dynamics. To achieve this goal, an output redefinition method is proposed. The new outputs of agents are functions of original outputs and internal states and defined such that the dynamics of agents a...

This paper proposes a machine learning approach to the problem of modelbased contour tracking for rigid or deformable objects. The motion of the target is calculated by tracking its contours in a video sequence. We develop a probabilistic representation of contours that allows robust contour tracking in presence of texture and clutter. We use boosting to train a predictor of the conditional pro...

This paper proposes a consensus-based formation tracking scheme for multi-robot systems utilizing the Negative Imaginary (NI) theory. The proposed applies to class of networked robotic that can be modelled as group single integrator agents with stable uncertainties connected via an undirected graph. NI/SNI property facilitates design distributed Strictly (SNI) controller achieve desired trackin...

This paper studies optimization problems over multi-agent systems, in which all agents cooperatively minimize a global objective function expressed as sum of local cost functions. Each agent the systems uses only computation and communication overall process without leaking their private information. Based on Barzilai–Borwein (BB) method multi-consensus inner loops, distributed algorithm with a...

One of the main problems in wind energy conversion system (WECS) is how to achieve maxim­u­m output power in different wind speeds. Maximum methods for maximum power point tracking in wind energy conversion syst­e­ms require the knowledge of system characteristics and mechanic sensors. So, using these methods practically will follow with high price and an abundant difficulties. In this pape...