激光焊接系统的非线性辨识和自适应控制

激光焊接涉及到复杂的物理和化学变化,是一个典型的非线性系统,用机理建模法很难得到系统的数学模型,通常采用基于输入输出数据的系统辨识方法来建模;为了得到未知参数的无偏估计,采用相关最小二乘法进行辨识建立激光焊接系统的双线性模型,并通过比较实际焊接系统的阶跃响应和模型的阶跃响应验证了模型的准确性和有效性;在此基础上,采用反馈线性化方法,对激光焊接系统设计了最小方差自适应控制器;仿真结果表明了该非线性自适应控制方法的有效性.     

具有一般交互矩阵的多变量系统的随机直接自适应控制

本文使用系统的交互矩阵,提出了基于广义最小方差控制律的一般随机多变量系统的直接自适应控制算法,并对该算法进行了稳定性和收敛性分析.该算法即使用于非最小相位系统仍然具有全局收敛特性.     

基于神经网络的一类非线性系统的自适应控制

基于递归神经网络给出了仅含一个非线性环节的一类非线性系统的自适应控制方案。该方案采用递归神经网络辨识非线性系统中的未知非线性环节。沿用广义最小方差自校正控制方法,可以解决非线性环节未知和工作点变化时传统方法无法控制的自适应控制问题。理论分析和仿真结果表明,该方法具有很好的控制效果。     

基于即时学习的非线性系统自适应PID控制

当使用先进策略整定PID控制器参数时,往往要依赖于系统所辨识的模型,而模型的精度与优化算法的计算效率直接影响到系统的控制效果.本文利用即时学习算法的本质自适应特点(建模数据在时间与空间上相邻性),来提高辨识模型的精度,并基于广义最小方差的性能指标,用等价多项式的方法,推导出PID形式的控制律,从而避免其他优化算法带来的计算量,提高了控制精度与计算效率.仿真结果验证了该方法的有效性.     

非线性自适应控制--克服非线性的影响

非线性自适应控制系统中,当工作点发生转移时,被控过程的增益有时会有很大的变化,这对使用广义最小方差控制的自校正控制器来说会产生一定的影响.文中对这种影响机理进行了讨论,并针对单变量系统提出两种合理的解决方法.     

具有可变性能指标的自校正自适应控制理论的研究

本文在广义最小方差基础上提出了具有可变性能指标函数的自校正控制方案,依据所要求的特征方程之根在线地改变权函数来确定控制律.本方案控制的算法不仅简单而且容易实现.计算机模拟仿真结果表明此控制律性能优于一般的自校正控制律,最终利用本文的方案对船舶航向实施自校正控制进行了讨论并实现了在"大明山"号轮船上的实际海试,结果表明性能优良.     

具有H∞误差界的鲁棒最小方差滤波

本文研究了含有范粗界数不确定的的线性连续系统在未建模外部干扰信号作用时的鲁棒最小方差滤波问题。     

基于终端滑模的机械手鲁棒自适应控制

对于不确定的机械手系统,提出一种鲁棒自适应控制方法,用自适应控制来估计系统的未知参数,用终端滑模控制来减少不确定因素的影响,为了避免因干扰的存在使自适应的估计参数发生漂移,引入死区自适应控制．仿真表明,滑模控制不仅抑制了误差,而且消除了死区自适应算法的局限性,该算法在取得较好控制效果的同时,具有很强的鲁棒性．     

污水处理过程的自适应控制

把自适应控制方法应用到污水生化处理过程中,主要是对溶解氧浓度的控制。使用双线性模型来简化溶解氧动态,对于一些不可以直接测量得到的重要过程参数,采用递推最小二乘算法来估计得到,并设置一步预测输出为期望的输出,从而得到对溶解氧浓度的最小方差自校正控制方案。仿真结果说明了空气流量和氧气吸收率(OUR)对溶解氧浓度的影响。     

基于神经元网和带死区的最小二乘算法的非线性离散时间系统的自适应控制

针对非线性离散时间系统,提出了一种用带死区的最小二乘算法去调节神经网参数的算法,同其他算法相比,这种算法具有非常高的收敛速度.对于这种自适应控制算法,证明了闭环系统的所有信号是有界的,跟踪误差收敛到以零为原点的球中.     

Robust adaptive observer design for uncertain systems with bounded disturbances.

This paper presents a robust adaptive observer design methodology for a class of uncertain nonlinear systems in the presence of time-varying unknown parameters with absolutely integrable derivatives, and nonvanishing disturbances. Using the universal approximation property of radial basis function (RBF) neural networks and the adaptive bounding technique, the developed observer achieves asymptotic convergence of state estimation error to zero, while ensuring boundedness of parameter errors. A comparative simulation study is presented by the end.     

Robust tracking control design for uncertain robotic systems with persistent bounded disturbances

In this study, a robust nonlinear L_∞‐gain tracking control design for uncertain robotic systems is proposed under persistent bounded disturbances. The design objective is that the peak of the tracking error in time domain must be as small as possible under persistent bounded disturbances. Since the nonlinear L_∞ ‐gain optimal tracking control cannot be solved directly, the nonlinear L_∞ ‐gain optimal tracking problem is transformed into a nonlinear L_∞ ‐gain tracking problem by given a prescribed disturbance attenuation level for the L_∞ ‐gain tracking performance. To guarantee that the L_∞ ‐gain tracking performance can be achieved for the uncertain robotic systems, a sliding‐mode scheme is introduced to eliminate the effect of the parameter uncertainties. By virtue of the skew‐symmetric property of the robotic systems, sufficient conditions are developed for solving the robust L_∞ ‐gain tracking control problems in terms of an algebraic equation instead of a differential equation. The proposed method is simple and the algebraic equation can be solved analytically. Therefore, the proposed robust L_∞ ‐gain tracking control scheme is suitable for practical control design of uncertain robotic systems. Copyright © 2008 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society     

Robust model predictive control of constrained linear systems with bounded disturbances

This paper provides a novel solution to the problem of robust model predictive control of constrained, linear, discrete-time systems in the presence of bounded disturbances. The optimal control problem that is solved online includes, uniquely, the initial state of the model employed in the problem as a decision variable. The associated value function is zero in a disturbance invariant set that serves as the ‘origin’ when bounded disturbances are present, and permits a strong stability result, namely robust exponential stability of the disturbance invariant set for the controlled system with bounded disturbances, to be obtained. The resultant online algorithm is a quadratic program of similar complexity to that required in conventional model predictive control.     

Adaptive control for systems with bounded disturbances

The authors present an identification algorithm that can be used to design globally stable indirect adaptive controllers for minimum- and nonminimum-phase systems subject to bounded disturbances. The parameter estimation scheme is a least-squares algorithm with dead zone. The dead zone is such that the estimates converge and make it possible to define projected estimates having the same convergence properties as the original estimates. In the minimum-phase case, the projection facility can be used to ensure that the leading coefficient projected estimate is greater than or equal to the true leading coefficient in absolute value. The projection procedure can also be used to avoid pole-zero cancellations in an adaptive pole-placement algorithm     

带有界扰动的一类大型互联非线性系统的鲁棒分散控制

研究带有界扰动的一类大型互联非线性系统的鲁棒分散控制问题, 该系统的第i个子系统的标称模型具有相对阶r_i及指数稳定的零动态, 且每个子系统的互联项满足匹配条件. 通过子系统状态的线性变换得到鲁棒分散状态反馈控制器, 当该控制律作用于系统时, 系统的状态能够收敛到原点的一个小邻域内, 并给出仿真算例说明该结论的可行性和有效性.     

CDMA系统中的一种分布式功率控制算法

通过仿真、对比分析了一种基于效益函数的博弈功率控制（UBPC）算法与DPC功率控制算法用于CDMA系统的性能。结果表明恰当选择效益函数和代价函数后,博弈功率控制算法可解决DPC算法因用户数的增加而发散的问题,并且可以保证用户的QoS要求及用户间的公平性,同时算法的收敛速度对用户数不敏感。     

Robust adaptive control of nonlinearly parametrized multivariable systems with unmatched disturbances

A new robust adaptive control scheme is developed for nonlinearly parametrized multivariable systems in the presence of parameter uncertainties and unmatched disturbances. The developed control scheme employs a new integrated framework of a functional bounding technique for handling nonlinearly parametrized system dynamics, an adaptive parameter estimation algorithm for dealing with parameter uncertainties, a nonlinear feedback controller structure for stabilization of interconnected system states, and a robust adaptive control design for accommodating unmatched disturbances. It is proved that such a new robust adaptive control scheme is capable of ensuring the global boundedness and mean convergence of all closed‐loop system signals. A complete simulation study on an air vehicle system with nonlinear parametrization in the presence of an unmatched wind disturbance is conducted, and its results verify the effectiveness of the proposed robust adaptive control scheme.     

Robust adaptive tracking control for a class of mechanical systems with unknown disturbances under actuator saturation

A robust adaptive tracking control scheme is presented for a class of multiple‐input and multiple‐output mechanical systems with unknown disturbances under actuator saturation. The unknown disturbances are expressed as the outputs of a linear exogenous system with unknown coefficient matrices. An adaptive disturbance observer is constructed for the online disturbance estimation. An actuator saturation compensator is introduced to attenuate the adverse effects of actuator saturation. The adaptive backstepping method is then applied to design the robust adaptive tracking control law. It is proved that the designed control law makes the system outputs track the desired trajectories and guarantees the global uniform ultimate stability of the closed‐loop control system. Simulations on a two‐link robotic manipulator verify the effectiveness of the proposed control scheme.     

Robust low complexity predictive control of constrained piecewise affine systems with bounded disturbances

A robust low complexity model predictive control (MPC) scheme, referred to as robust one-step control, is proposed for constrained piecewise affine (PWA) systems with bounded disturbances. First, the maximal robust stabilizable set is added into the MPC formulation to guarantee the robust feasibility and low complexity. Second, the robust stability is analyzed via linear matrix inequalities (LMI). Extensive numerical examples illustrate the low complexity of the proposed robust one-step control.     

Multiphase transfer of control signal for adaptive power control in CDMA systems

Capacity improvment in cellular networks is highly dependent on the effectiveness of power control. A power control procedure is needed to compensate for the fluctuation of a mobile's transmitting power received at a base station and to increase the capacity of the mobile communication system via decreasing intra- and inter-cellular interference. Here we consider fuzzy set theory based delayed adaptive step-size closed loop power control scheme(s). In this scheme transmitters adjust their power step sizes according to the received multiphased power control signals (delayed commands) from base stations. Code division multiple access (CDMA) system standards (cdmaOne, CDMA2000 and ETSI UMTS/UTRAN) limit the number of bits to two for the length of the control command in time slots. Hence, the number of commands is limited to four per time slot (in practise to two: up and down fixed amount, the rest are zero and unused values) when a sign and magnitude binary word format is used. In the developed algorithm, the number of commands is enlarged to 16 per two sequential time slots (four bits) without an increase in the standardized control bit rate by transmitting control commands in two sequential phases (time slots). First two bits of the command are transmitted in the current time slot and a receiver stores them and waits for the next time slot, which includes the last two bits of the control signal. The receiver interprets control command after receiving all 4 bits. Therefore, the control frequency is decreased (delayed control) to half of the original but respectively the dynamic scale is increased to 4 times larger (in practise 7 times: 7 values up and 7 down, 1 value for zero and 1 unused) for the sign and magnitude binary coding. A single transmitter's control results with the developed controller in a frequency selective fading channel in a CDMA network with interfering nodes and Gaussian noise are compared to the predefined step size power control scheme, which is a de facto standard the power control in cellular networks.