用于信道盲均衡的基于软判决导向的LS算法

本文提出两种改进的基于软判决导向的最小平方均衡法。一种采用横向结构，另一种采用格式结构。这两种均衡算法的判决误差形式不同于一般的判决误差形式，它们的表达式是一种更为复杂的连续函数形式。通过计算机仿真，我们发现，采用横向结构的这种改进算法无论对于最小相位还是非最小相位信道的均衡均有较好的性能，而采用格形结构的这种改进算法的性能在非最小相位信道下的性能反而不如传统的格形算法。     

自适应光学技术在欧美激光通信地面站应用现状

自适应光学技术是提高激光通信地面站单模光纤耦合效率、增加接收信号信噪比、提升激光通信可靠性的一种重要手段。对欧美将自适应光学技术应用于激光通信地面站的情况进行了详细阐述与分析，主要内容包括自适应光学系统的组成、参数和部分实验结果，为激光通信地面站及其自适应光学系统的设计提供有益的参考。     

位同步提取环路带宽的自适应控制的研究

本文主要研究数字匹配滤波器在位同步提取环路带宽的自适应控制中的应用。首先，从理论上分析了匹配滤波器的误码性能，定量地推出数字匹配滤波器的误码率计算公式；然后，分析了输入信噪比与数字匹配滤波器输出状态的关系；最后，给出了位同步提取环路带宽的自适应控制的硬件实现方案。     

系统不确定性边界未知的变结构控制器设计方案

在设计变结构控制器的过程中，确定对象不确定性的范围是一个重要的前提步聚。但是，在某些情况下要确定其边界是相当困难的，或者存在不能精确描述的外部扰动不可能得到其变化的准确范围。针对上述问题，在传统的变结构控制器中加入了对应不确定因素的自适应环节，并证明了该方法设计之控制器的稳定性。仿真结果表明了该法的有效性。     

一类多变量MRAC算法的研究

本文应用超稳定性理论证明了由Sobel和Bar—kana等提出的多变量模型参考自适应算法。直接得到了自适应控制信号u_p并且推出了一种δ——校正算法。     

基于DSP的自适应滤波LMS算法的研究和实现

水声通信是近年来发展迅速、研究相当活跃的通信技术领域之一,它的研究为水下信息可靠传输提供了重要保障。本研究课题来自某军工科研项目,主要对浅海中的信息进行识别、收集、存储、转发。本文主要介绍自适应滤波特点并对LMS算法进行了研究,同时结合DSP使其实现。最后对实验结果进行了分析。     

Backstepping design of missile guidance and control based on adaptive fuzzy sliding mode control

This paper presents an integrated missile guidance and control law based on adaptive fuzzy sliding mode control. The integrated model is formulated as a block-strict-feedback nonlinear system, in which modeling errors, unmodeled nonlinearities, target maneuvers, etc. are viewed as unknown uncertainties. The adaptive nonlinear control law is designed based on backstepping and sliding mode control techniques. An adaptive fuzzy system is adopted to approximate the coupling nonlinear functions of the system, and for the uncertainties, we utilize an online-adaptive control law to estimate the unknown parameters. The stability analysis of the closed-loop system is also conducted. Simulation results show that, with the application of the adaptive fuzzy sliding mode control, small miss distances and smooth missile trajectories are achieved, and the system is robust against system uncertainties and external disturbances.     

Friction compensation for low velocity control of hydraulic flight motion simulator: A simple adaptive robust approach

Low-velocity tracking capability is a key performance of flight motion simulator (FMS), which is mainly affected by the nonlinear friction force. Though many compensation schemes with ad hoc friction models have been proposed, this paper deals with low-velocity control without friction model, since it is easy to be implemented in practice. Firstly, a nonlinear model of the FMS middle frame, which is driven by a hydraulic rotary actuator, is built. Noting that in the low velocity region, the unmodeled friction force is mainly characterized by a changing-slowly part, thus a simple adaptive law can be employed to learn this changing-slowly part and compensate it. To guarantee the boundedness of adaptation process, a discontinuous projection is utilized and then a robust scheme is proposed. The controller achieves a prescribed output tracking transient performance and final tracking accuracy in general while obtaining asymptotic output tracking in the absence of modeling errors. In addition, a saturated projection adaptive scheme is proposed to improve the globally learning capability when the velocity becomes large, which might make the previous proposed projection-based adaptive law be unstable. Theoretical and extensive experimental results are obtained to verify the high-performance nature of the proposed adaptive robust control strategy.     

Adaptive double-saturated control for hovering over an asteroid

Hovering over an irregular-shaped asteroid is particularly challenging due to the large gravitational uncertainties and various external disturbances. An adaptive control scheme considering commanded acceleration and its change-rate saturation for hovering is developed in this paper. Taking full advantage of terminal sliding-mode control theory, first, we convert the double-saturated control problem to a new equivalent system by introducing a special bounded function, in which just control input saturation needs to be considered. Then, a continuous finite-time saturated controller is designed for the new system with the assistance of an constructed auxiliary subsystem. Additionally, an adaptive law is devised for the controller to avoid the requirement of the unknown upper bounds of the disturbances, rendering the control scheme especially suitable to asteroid hovering missions. The finite-time stability of the whole closed-loop system is proved via Lyapunov analysis. Numerical simulation studies are carried out, and the results demonstrate the design features and the desired performance.     

Adaptive level of autonomy for human-UAVs collaborative surveillance using situated fuzzy cognitive maps

Collaborating with a squad of Unmanned Aerial Vehicles (UAVs) is challenging for a human operator in a cooperative surveillance task. In this paper, we propose a cognitive model that can dynamically adjust the Levels of Autonomy (LOA) of the human-UAVs team according to the changes in task complexity and human cognitive states. Specifically, we use the Situated Fuzzy Cognitive Map (SiFCM) to model the relations among tasks, situations, human states and LOA. A recurrent structure has been used to learn the strategy of adjusting the LOA, while the collaboration task is separated into a perception routine and a control routine. Experiment results have shown that the workload of the human operator is well balanced with the task efficiency.