The significant role for a contemporary control algorithm in the position of permanent magnet linear motor (PMLM) system is highlighted by rigorous standards accuracy many modern industrial and robotics applications. A robust predefined time convergent sliding mode controller (PreDSMC) designed high precision tracking with external disturbance, its convergence independent system’s initial value model parameters. We verified theoretically that performance function conditions are satisfied,...

Disease classification based on machine learning has become a crucial research topic in the fields of genetics and molecular biology. Generally, disease involves supervised style; i.e., it requires large number labelled samples to achieve good performance. However, majority cases, are hard obtain, so amount training data limited. many unclassified (unlabelled) sequences have been deposited public databases, which may help procedure. This method is called semi-supervised very useful...

The main problem addressed is the attitude tracking control of rigid spacecraft without angular velocity measurement in process capturing non-cooperation target, observer and adaptive stability controller have designed to deal with this problem. An PID proposed, which, composite disturbance combined inertia perturbance external disturbance, compensated by estimation, an had been based on controller, then, a novel modified obtained, which will only need measurements, Lyapunov theory analysis...

Intelligent robotics has drawn a great deal of attention due to its high precision, stability, and reliability, which are the basic key factors for industrial automation. This paper proposes an iterative learning control (ILC) technique with predefined-time convergence as solution applied engineering problem, namely, that local time cannot be preset when second-order nonlinear system undertakes accurate tracking under any initial value. A time-varying sliding surface value zero was designed,...

Purpose The purpose of this paper is to provide a new recursive GM (1,1) model based on forgetting factor and apply it the modern weapon equipment system. Design/methodology/approach In order distinguish contribution old data grey prediction with information, authors add objective function. above realize dynamic weighting modeling data, gradually forget information. Second, estimation algorithm parameters given, information added in real time improve accuracy model. Findings It shown that...

In this paper, a finite-time attitude control scheme based on the dual-loop framework is proposed for rigid spacecraft in presence of inertia uncertainties, external disturbances, bounded angular velocity, and input saturation. The law was designed structure. First, hyperbolic tangent function used to design virtual velocity command, which serves as outer loop system stabilize under constraints. Second, smooth approximate saturation an auxiliary constructed compensate effects actuator...

With the increasing complexity of system, sensor might induces failure more easily in future, and model-based controller design will become complicated. This paper uses D-type iterative learning law to reduce system complexity. In order guarantee that is convergence under condition fault bounded simple input output (SISO) linear continuous systems, we illustrates sufficient conditions proves it. addition, by using matrix inequalities (LMI), devise a quick determination method which can...

This paper investigates the guidance and control problem for missile with seeker mounted in side window. To effectively coordinate flight trajectory attitude of missile, expand detection range target enhance accuracy, a novel law based on adaptive technique is proposed. And navigation ratio changes adaptively as lead angle varies. Numerical simulation results show that applicability proportional wider than parallel conventional navigation, thus, proposed this has better combination property.

The influence of the initial launching azimuth missile on hit probability proportional navigation under side window detection is studied. Side will seriously reduce guidance, thus optimal choice launch great importance to space interception. To get region, combine angle deviation in both vertical and horizontal plane form a variety conditions by using line sight as benchmark. Then applicability distribution application range above are analyzed simulation. Finally, region obtained. research...

Aiming at the attitude control problem of spacecraft in capturing non-cooperative target process, a dual tracking robust adaptive controller is designed. Firstly, bounded virtual angular velocity designed for kinematics equations to guarantee that converges zero quickly. Secondly, new constructed based on barrier Lyapunov function ensure error between and real bounded. The physical constraint satisfied. Applying Lyapunov's stability theory, global asymptotic closed-loop system analyzed. To...

According to the characteristics of spacecraft capturing noncooperative targets in orbit, an increment feedback controller based on nonlinear iterative sliding mode is presented. Firstly, attitude tracking error equation established, and then, control law bounded modes proposed, which does not need estimate uncertain moment inertia external disturbances. For comparing, adaptive has been designed paper. Some numerical simulations have given presence on-orbit target, simulation results show...

This paper considers the problem of attitude control for rigid spacecraft with inertia uncertainties, assigned velocity and input saturation. The interconnected nonlinear system is transform into individually subsystems. A robust scheme proposed, which combines command filter disturbance observer technique, so that each subsystem input-to-state stable (ISS). proposed law simple robust, controller can be designed independently, based on semi-globally ISS concept. stability modified...

Adaptive attitude tracking controller is designed for a spacecraft with constraints of uncertain perturbation rotational inertia and bounded error. The compound disturbance combined external environment estimated by adaptive update law. An based on barrier Lyapunov function. can ensure the closed-loop system global asymptotical stability, errors are in all time. Numerous simulation prove that have advantage high precision, strong robustness

To improve the prediction accuracy of Extreme Learning Machine (ELM), this paper establishes a sequential ELM algorithm with forgetting factor by applying exponential weighting to new and old sample data, obtains optimal through simulation analysis. First, considering different contribution rates data model, presents an external weight online identification for downgrading information. Then, based on actual situation network security attacks in certain enterprise, learning is obtained...