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In order to decrease the vulnerability of ground support aircraft under fragment/projectile attack, a vulnerability model of a ground support aircraft was established, and the vulnerability of the ground support aircraft in the typical attack direction was calculated. According to the geometric shape of the ground support aircraft and the distribution of critical components, the ground support aircraft is divided into different areas, and the armor protection efficiency of each area is assessed. The results show that the cockpit area, the front fuselage fuel tank area, and the rear fuselage fuel tank area have high protection efficiency, and these areas can be protected first when the armor weight is limited. On this basis, flexible use of vulnerability reduction measures, targeted reduction of highly vulnerable components, and repeated iterative analysis to achieve vulnerability index requirements are performed. Finally, a numerical simulation test was carried out on the A-10 ground support aircraft. After the vulnerability was reduced, the index design requirements were met under the B and C level kills, which verified the feasibility of the proposed method.

In intelligent manufacturing system, a systematic method of constructing stereo vision using neural network is proposed, and the operation and control mechanism in practical operation is put forward. In particular, the concept of calculation process is established. And this method overcomes the complexity of a large number of calculations. And it has significant advantages in the system scientifically, the operation speed and the operability.

The continuous zoom multi configuration method is developed, and the correlative model is established, which overcomes the limitations of traditional methods, and realizes the expected system evaluation criteria，such as MTF, REA, RMS, etc..through the balance between value function, optimization algorithm and model parameterization.

Multidisciplinary design optimization (MDO), as an advanced and effective theory and method to solve the design problems of many complex products and systems, has attracted more and more attention. Based on the analysis of product design activities, the effective theory and engineering practice of complex systems are discussed.

Shrinking optical components and systems without compromising performance has been a challenge. New sensors and components are developing the methodology in research advanced multiple configuration systems. The effect of system evaluated criteria that Modulation Transfer Function (Modulation Transfer Function, the MTF), Energy concentration (Radial Energy Analysis, REA), diffusion (Spot Diagram, RMS) can support our issue qualitatively. Results showed that can not only change systems weight, size and structural stability, but also increase freedom in these kinds design.

The theory of compound zoom system and its influence and control on aberration are the basis for the design of such systems and have practical value in engineering. The principle, modeling and error analysis are analyed. Based on the system configuration of the compound zoom system, moreover, this paper advances the algorithm analysis.

An adaptive equivalent focal length optimization algorithm is proposed. With a complete 4π stereo angle wide field of view, this kind of imaging distortion correction simulation system is established, and the multi-level effectiveness strategy is developed. And the simulation results based on this algorithm are given in many environments.

The key to improve the capability of photoelectric detection and countermeasure system is to improve the detection ability of the system. System resolution, detection distance, detection range, response time, system signal-to-noise ratio are important criteria, and system optics is the core of its engineering implementation. From the global perspective, the adaptive algorithm establishes a new theory which superior to the traditional method, and solves the problem of freely determining the core optical solution, and opens up a new field for the development of accurate detection system.

The theory of compound zoom system and its influence and control on aberration are the basis for the design of such systems and have practical value in engineering. The principle, modeling and error analysis are analyed. Based on the system configuration of the compound zoom system, moreover, this paper advances the algorithm analysis.

Sensor system optimization is an important issue in the development of new systems. In order to improve the resolution of the imaging system and reach the theoretical limit, from the perspective of theory and engineering, an adaptive equivalent focal length optimization algorithm is proposed. With a complete 4π stereo angle wide field of view, this kind of imaging distortion correction simulation system is established, and the multi-level effectiveness strategy is developed. And the simulation results based on this algorithm are given in many environments..

The key to improve the capability of photoelectric detection and countermeasure system is to improve the detection ability of the system. System resolution, detection distance, detection range, response time, system signal-to-noise ratio are important criteria, and system optics is the core of its engineering implementation. From the global perspective, the adaptive algorithm establishes a new theory which superior to the traditional method, and solves the problem of freely determining the core optical solution, and opens up a new field for the development of accurate detection system.

The key to improve the capability of photoelectric detection and countermeasure system is to improve the detection ability of the system. System resolution, detection distance, detection range, response time, system signal-to-noise ratio are important criteria, and system optics is the core of its engineering implementation. From the global perspective, the adaptive algorithm establishes a new theory which superior to the traditional method, and solves the problem of freely determining the core optical solution, and opens up a new field for the development of accurate detection system.

Base on computational imaging, a new imaging system is proposed by making full use of global optimization, system reconstruction and control mechanism in practical operation. The theory and engineering method of space-time adaptive imaging are established, which overcome the shortcomings of complex traditional system structure and control factors, and large amount of computation and so on. In the design and implementation of the core optical system, the scientific nature of the standard group, the running speed and the maneuverability of the technology are effectively considered. It promotes a new type of large field of view, super resolution imaging technology, especially wide area applications. The physical and mathematical models are used, as well as the reconstruction algorithm is improved. The experimental system is established, and the simulation results support our theoretical prediction. This technology has potential value in brand fields.

On the design methods and traditional micro system structures in multiple configurations, there are some certain limitations. In order to resolve the problems of the conventional multiple structures present in the system, new sensors and components are applied in the development of the design method and system configuration. Micro lens, as a kind of typical components, are developing the methodology in research advanced multiple configuration systems. The effect of system evaluated criterion that Modulation Transfer Function (Modulation Transfer Function, the MTF), Energy concentration (Radial Energy Analysis, REA), diffusion (Spot Diagram, RMS) can support our issue qualitatively. Results showed that can not only change systems weight, size and structural stability, but also increase freedom in these kinds design. While improving the implementation of existing multiple path configuration from traditional complex.

A method of continuous zoom multiple configuration, with a micro lens array and core optics is attempt to establish model by novel principle on resonance energy transfer and high accuracy localization, by which the system resolution can be improved with a level of a few nanometers. A comparative study on traditional vs modern methods can demonstrate.

Space-time adaptive methods, and their expansion of the aspects of application and operation platform, are extending from the traditional space-time system design to the structured devices, augmented reality, virtual reality, artificial intelligence and open Internet and so on,based on the holographic beam tracing technology, the core technology system on real scene was built, which can not only provide realistic reappearance effect, but also confirmed a practical application.

The purpose is to create a universal solution for complex structures in this field. Based on the idea of computational imaging, a new imaging system is proposed, which makes full use of global optimization, system reconstruction and control mechanism in actual operation. It overcomes the shortcomings of traditional system construction and control factors, such as complex relationship, large amount of calculation and so on. In the design and implementation of the core optical system, and the scientific of the criterion group, the speed of operation and the operability of the technology are also considered effectively. The results support our theoretical predictions.

Hyperspectral anomaly detection (HAD) is a research endeavor of high practical relevance within remote sensing scene interpretation. In this work, we propose an unsupervised approach, dual feature extraction network (DFEN) for HAD, to gradually build up ever-greater discrimination between the original data and background. In particular, we impose an end-to-end discriminative learning loss on two networks. Among them, adversarial learning aims to keep the original spectrum while Gaussian constrained learning intends to learn the background distribution in the potential space. To extract the anomaly, we calculate spatial and spectral anomaly scores based on mean squared error (MSE) spatial distance and orthogonal projection divergence (OPD) spectral distance between two latent feature matrices. Finally, the comprehensive detection result is obtained by a simple dot product between two domains to further reduce the false alarm rate. Experiments have been conducted on eight real hyperspectral data sets captured by different sensors over different scenes, which show that the proposed DFEN method is superior to other compared methods in detection accuracy or false alarm rate.

In this paper, the Envelope Prediction Algorithm (EPA) is presented based on the Unscented Kalman Filter (UKF) method for the Unmanned Aerial Vehicle (UAV). Firstly, the flight envelope of UAV extended system is calculated by the Attainable Equilibrium Set (AES) algorithm. The discrete Newton iteration method is used to solve the nonlinear algebraic equation of UAV, and then the AES is obtained at the current state. Secondly, the UKF has the characteristics of high accuracy and strong stability, which can effectively to predict the next moment state value of the nonlinear system. Therefore, the UKF in this paper is used to predict the state variables of the UAV system at the next moment. Finally, the AES algorithm is adopted to calculate the next moment flight envelope of the UAV. The simulation results of the UAV indicate that the EPA algorithm can effectively predict the next moment AES of the UAV based on the predict the results.

This paper mainly investigates the consensus problem of event-triggered unmanned aerial vehicle (UAV) systems with time delays and external disturbances. With the consideration of event-triggered control strategy, the networked burden of transmission between the two adjacent unmanned aerial vehicles (UAVs) can be effectively alleviated. By considering the time delays and external disturbances, a form of second order differential model is employed for UAV systems. On the basis of the Lyapunov stability theory, the sufficient conditions can be obtained to ensure the stability of the UAV systems. Then, the controller gains are derived to guarantee the consensus with the Kronecker product technique and linear matrix inequality (LMI) approach. Finally, a simulation example is given to demonstrate the validity of the designed control strategy.

The planar wave-guided volume hologram (PWGVH) is recorded and reconstructed using light waves guided through optical substrates. In this paper, the variation of the diffracted light wave's central wavelength and wavelength range versus the angular deviation relative to the angle under Bragg condition was analyzed through numerical simulation. The study shows acceptable angular range with the high diffraction efficiency and color uniformity of unitary hologram is much less than the angular width. Multilayer volume holograms are designed to expand the acceptable angular range. The numerical simulation indicates that better color uniformity and wider acceptable angular range can be obtained.