Multi-layer collaborative optimization fusion for semi-supervised learning

Recently, the Cooperative Training Algorithm(CTA), a well-known Semi-Supervised Learning(SSL) technique, has garnered significant attention in the field of image classification.However, traditional CTA approaches face challenges such as high computational complexity and low classification accuracy. To overcome these limitations, we present a novel approach called Weighted fusion based Cooperative Training Algorithm(W-CTA), which leverages the cooperative training technique and unlabeled data to ...     

Automatic interval management for aircraft based on dynamic fuzzy speed control considering uncertainty

A novel real-time autonomous Interval Management System(IMS) is proposed to automate interval management, which considers the effect of wind uncertainty using the Dynamic Fuzzy Velocity Decision(DFVD) algorithm. The membership function can be generated dynamically based on the True Air Speed(TAS) limitation changes in real time and the interval criterion of the adjacent aircraft, and combined with human cognition to formulate fuzzy rules for speed adjusting decision-making. Three groups of exper...     

Design and experiment of concentrated flexibility-based variable camber morphing wing

The morphing wing has a significant positive effect on the aerodynamic performance of the aircraft. This paper describes a leading-edge of variable camber wing with concentrated flexibility based on the geared five-bar mechanism. The driving points of morphing skin formed by the glass fibre composite sheet were optimized to make the skin deformation smooth. A geared fivebar kinematic mechanism rigidly connected to the skin was proposed to drive the leading-edge deformation. Besides, a new kind o...     

Disturbance observer based actor-critic learning control for uncertain nonlinear systems

This paper investigates the disturbance observer based actor-critic learning control for a class of uncertain nonlinear systems in the presence of unmodeled dynamics and time-varying disturbances. The proposed control algorithm integrates a filter-based design method with actor-critic learning architecture and disturbance observer to circumvent the unmodeled dynamic and the timevarying disturbance. To be specific, the actor network is employed to estimate the unknown system dynamic, the critic n...     

Observer-based motion axis control for hydraulic actuation systems

Unknown dynamics including mismatched mechanical dynamics(i.e., parametric uncertainties, unmodeled friction and external disturbances) and matched actuator dynamics(i.e., pressure and flow characteristic uncertainties) broadly exist in hydraulic actuation systems(HASs),which can hinder the achievement of high-precision motion axis control. To surmount the practical issue, an observer-based control framework with a simple structure and low computation is developed for HASs. First, a simple obser...     

Adaptive cubature Kalman filter with the estimation of correlation between multiplicative noise and additive measurement noise

Mobile robots are often subject to multiplicative noise in the target tracking tasks, where the multiplicative measurement noise is correlated with additive measurement noise. In this paper,first, a correlation multiplicative measurement noise model is established. It is able to more accurately represent the measurement error caused by the distance sensor dependence state. Then, the estimated performance mismatch problem of Cubature Kalman Filter(CKF) under multiplicative noise is analyzed. An i...