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1.
介绍了基于Matlab的IIR数字滤波器设计方法。先确定数字滤波器的性能指标,再按照一定的映射规则(冲激响应不变法或双线性变换法)变换成模拟滤波器的性能指标,然后采用一定的逼近方法(巴特沃斯型或切比雪夫型)设计模拟滤波器,最后将模拟滤波器按照同样的映射规则转变成数字滤波器。同时介绍了设计IIR数字滤波器常用的Matlab函数。通过Matlab实验仿真,利用介绍的数字滤波器的设计方法,成功地设计出了满足预定指标的各型IIR数字滤波器。  相似文献   

2.
Chebyshev滤波器是一种常用的高性能滤波器。本文通过对Chebyshev滤波器的系统函数的推导分解,提出了一种可以快速实现高阶Chebyshev低通滤波器电路的方法,并给出了设计高阶Chebyshev低通滤波器电路的各元器件参数的计算公式。最后运用该算法快速设计了一个7阶Chebyshev低通滤波器,并采用Saber软件对设计的7阶Chebyshev低通滤波器进行了理论分析验证。  相似文献   

3.
A novel H filter design methodology has been presented for a general class of nonlinear systems. Different from existing nonlinear filtering design, the nonlinearities are approximated using neural networks, and then are modeled based on linear difference inclusions, which makes the structure of the desired filter simpler and parameter turning easier and has the advantages of guaranteed stability, numeral robustness, bounded estimation accuracy. A unified framework is established to solve the addressed H filtering problem by exploiting linear matrix inequality (LMI) approach. A numerical example shows that the filtering error systems will work well against bounded error between a nonlinear dynamical system and a multilayer neural network.  相似文献   

4.
This paper presents a simple and efficient design method for cosine-modulated filter banks with prescribed stopband attenuation, passband ripple, and channel overlap. The method casts the design problem as a linear minimization of filter coefficients such that their value at ω=π/2M is 0.707, which results in a simpler, more direct design procedure. The weighted constrained least squares technique is exploited for designing the prototype filter for cosine modulation (CM) filter banks. Several design examples are included to show the increased efficiency and flexibility of the proposed method over the exiting methods. An application of the proposed method is considered in the area of sub-band coding of the ECG and speech signals.  相似文献   

5.
This paper presents an adaptive event-triggered filter of positive Markovian jump systems based on disturbance observer. A new adaptive event-triggering mechanism is constructed for the systems. A positive disturbance observer is designed for the systems to estimate the disturbance. A distributed output model of each subsystem of positive Markovian jump systems is introduced. Then, an adaptive event-triggering distributed filter is designed by employing stochastic copositive Lyapunov functions. All presented conditions are solvable in terms of linear programming. Under the designed disturbance observer and the distributed filter, the corresponding error system is stochastically stable. The filter design approach is also developed for discrete-time positive Markovian jump systems. The contribution of the paper lies in that: (i) A new adaptive event-triggering mechanism is established for positive systems, (ii) A positive disturbance observer is designed for the disturbance of positive Markovian jump systems, and (iii) The designed distributed filter can guarantee the stochastic stability of the error while existing filters in literature only achieve the stochastic gain stability of the error. Finally, two examples are given to illustrate the effectiveness of the proposed design.  相似文献   

6.
This paper investigates the non-fragile dissipative filtering problem for a class of two-dimensional (2-D) switched systems. Based on the well-known Roesser model, a 2-D switched system is considered. A stochastic process subject to a so-called sojourn probability is utilized as the switching rule. The non-fragile concept is introduced to design the filter in which the additive gain variation is assumed to occur randomly. Sufficient conditions for the existence of a desired dissipative filter are presented and the design scheme is given by convex optimization techniques. A numerical example is provided to show the effectiveness and the superiority of the proposed new design technique.  相似文献   

7.
This paper investigates the problem of event-triggered filter design for nonlinear networked control systems (NCSs) in the framework of interval type-2 (IT2) fuzzy systems. A novel IT2 fuzzy filter for ensuring asymptotic stability and H performance of filtering error system is proposed, where the premise variables are different from those of the fuzzy model. Attention is focused on solving the problem of event-triggered filter design subject to parameter uncertainties, data quantization, and communication delay in a unified frame. It is shown that the proposed event-triggered filter design communication mechanism for IT2 fuzzy NCSs has the advantage of the existing event-triggered approaches to reduce the utilization of limited network resources and provides flexibility in balancing the tracking error and the utilization of network resources. Finally, simulation example is given to validate the advantages of the presented results.  相似文献   

8.
深入分析了某智能网络分析仪数字中频处理中的有限脉冲响应(FIR)数字滤波器的设计原理。设计的FIR滤波器根据设计要求可以改变参数,使得滤波器性能达到最优化,能节省大量编程时间,提高编程效率。该滤波器通带波动小、阻带衰减大,从而证明其算法具有有效性和优越性,阐述了其具体的设计原理及实现方案。  相似文献   

9.
数字滤波器是数字信号处理中的重要组成部分。本文提出一种数字滤波器的设计方法——基于MATLAB的数字滤波器的原理与实现。文章通过一FIR滤波器设计实例说明如何利用MATLAB来完成数字滤波器的设计。  相似文献   

10.
Robust fault detection for a class of nonlinear time-delay systems   总被引:1,自引:0,他引:1  
In this paper, the robust fault detection filter (RFDF) design problems are studied for nonlinear time-delay systems with unknown inputs. Firstly, a reference residual model is introduced to formulate the robust fault detection filter design problem as an H model-matching problem. Then appropriate input/output selection matrices are introduced to extend a performance index to the time-delay systems in time domain. The reference residual model designed according to the performance index is an optimal residual generator, which takes into account the robustness against disturbances and sensitivity to faults simultaneously. Applying robust H optimization control technique, the existence conditions of the robust fault detection filter for nonlinear time-delay systems with unknown inputs are presented in terms of linear matrix inequality (LMI) formulation, independently of time delay. An illustrative design example is used to demonstrate the validity and applicability of the proposed approach.  相似文献   

11.
设计了利用Matlab与DSP技术相结合的FIR数字滤波器的软件、硬件实现方法、文中采用窗函数法设计FIR数字滤波器.给出了低通滤波器的Matlab仿真波形,介绍了在DSP硬件系统中的实现过程,实现了对信号的FIR滤波处理.  相似文献   

12.
This paper focuses on the problem of robust H∞ filter design for uncertain systems with time-varying state and distributed delays. System uncertainties are considered as norm-bounded time-varying parametric uncertainties. The delays are assumed to be time-varying delays being differentiable uniformly bounded with delay-derivative bounded by a constant, which may be greater than one. A new delay-derivative-dependent approach of filter design for the systems is proposed. A novel Lyapunov-Krasovskii functional (LKF) is employed, and a tighter upper bound of its derivative is obtained by employing an inequality and using free-weighting matrices technique, then the proposed result has advantages over some existing results, in that it has less conservatism and it enlarges the application scope. An improved sufficient condition for the existence of such a filter is established in terms of linear matrix inequality (LMI). Finally, illustrative examples are given to show the effectiveness and reduced conservatism of the proposed method.  相似文献   

13.
A recursive nonlinear filter and tracking methodology is developed here for a class of partially observable processes. The method is based on an approximation of a nonlinear system by a system which is linear in the unobservable states and has the unobservables conditionally Gaussian with respect to the observations initially. Model smoothness, such as required with most approximating filters is not required here, and applications to simulated tracking problems show the filter to be considerably more accurate than the modified second-order filter which in general sense includes the extended Kalman filter.  相似文献   

14.
Since Proportional?+?Integral?+?Derivative (PID) controller is still the workhorse in taking over the workload of process control systems, this article introduces a new design methodology toward improving the performance of such controller. After a PI control law with windup protection is given, it is combined with a derivative path employing a first-order low pass filter in an innovative way to develop a performant controller called PI?+?DF controller. In attempting to attain a high level of control performance, gains of this controller including proportional, integral, derivative and filter gains are tuned choosing the recently introduced Stochastic Fractal Search (SFS) algorithm owing to its superiority to many state-of-the-art algorithms considering convergence, accuracy and robustness. To evaluate the efficacy of SFS, Particle Swarm Optimization (PSO) is also applied to the case study. Furthermore, the presented SFS optimized PI?+?DF controller is compared to a recently reported control scheme through simulation and experimental tests on an identical DC servo system. After providing the stability proof, SFS tuned PI?+?DF controller is found to be the pioneer in exhibiting the most accurate speed response profile under complicated scenarios, which is followed by PSO tuned PI?+?DF controller and the existing control approach, respectively.  相似文献   

15.
设计了一种包含多种信息的加密标识数据结构,并将该结构嵌入到文件头中,解决了文件透明加解密系统中加密标识的设置问题。  相似文献   

16.
In this paper, a dynamically event-triggered filtering problem is investigated for a class of discrete time-varying systems with censored measurements and parameter uncertainties. The censored measurements under consideration are described by the Tobit measurement model. In order to save the communication energy, a dynamically event-triggered mechanism is utilized to decide whether the measurements should be transmitted to the filter or not. The aim of this paper is to design a robust recursive filter such that the filtering error covariance is minimized in certain sense for all the possible censored measurements, parameter uncertainties as well as the effect induced by the dynamically event-triggered mechanism. By means of the mathematical induction, an upper bound is firstly derived for the filtering error covariance in terms of recursive matrix equations. Then, such an upper bound is minimized by designing the filter gain properly. Furthermore, the boundedness is analyzed for the minimized upper bound of the filtering error covariance. Finally, two numerical simulations are exploited to demonstrate the effectiveness of the proposed filtering algorithm.  相似文献   

17.
This paper investigates a class of nonlinear systems with actuator fault. In particular, fuzzy logic systems have been used to approximate the unknown nonlinear functions, backstepping procedure is adopted to design controller for the system with mismatched condition, command filter is utilized to eliminate the explosion of complexity of the backstepping and also to compensate the output of a filter subjected to the derivative of the virtual control. The stability of the closed-loop system and the convergence of the tracking error are proved via Lyapunov Theorem. In addition, two numerical simulation examples are illustrated the effectiveness of the proposed approach.  相似文献   

18.
An improvement on the transient response of tracking for the sampled-data system based on an improved PD-type iterative learning control (ILC) is proposed in this paper. The developed analog ILC method and the high-gain property tracker design methodology are first combined to significantly reduce learning epochs and overcome the initial condition shift problem and discontinuous reference input in the traditional ILC. Besides, the proposed ILC improves the transient response and decreases the rate of weighting matrices QQ to RR under the traditional linear quadratic tracker design. First, the off-line observer/Kalman filter identification (OKID) is used to determine the appropriate (low-) order system parameters and state estimator for the physical system with unknown system equation, so that the model-based PD-type ILC can be implemented for practical applications. Then, to improve the transient response and decrease the control effort, the proportional difference type (PD-type) ILC algorithm is combined with the high-gain property linear quadratic tracker (LQT) design to construct the high performance tracker for the model-based sampled-data systems. Furthermore, the discrete-time version high performance tracker design for the unknown stochastic sampled-data system via the iterative learning control method is proposed in this paper based on the Euler method and the digital redesign approach. Finally, some examples are given for illustrating the effectiveness of the proposed method.  相似文献   

19.
现代企业IT组织的匹配性设计探讨   总被引:1,自引:0,他引:1  
要从本质上提高IT组织灵活应用IT资源创造竞争优势的能力,需要在IT组织设计层面上重新思考.分析了IT组织变迁过程中面临的新挑战,对当前IT组织架构设计的思路与方法进行了详细的综述,并基于当前研究的不足提出了IT组织架构匹配性设计的思路与方法,为现代企业IT组织的进一步优化和变革提供参考.  相似文献   

20.
IIR(无限冲激响应)数字滤波器在许多领域得到广泛应用.这里介绍了一种利用Matlab设计一个IIR数字陷波器的方法,接着在硬件实现时将其转化为二阶级联形式,以VerilogHDL语言书写模块,最后利用Altera公司的Quartus Ⅱ软件进行FPGA设计及仿真.  相似文献   

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