In this paper, new theoretical and simulated results of a self-tuning proportional-integral-derivative (PID) robust servomechanism (for the class of constant reference and disturbance signals) are given, for cases inv...
详细信息
In this paper, new theoretical and simulated results of a self-tuning proportional-integral-derivative (PID) robust servomechanism (for the class of constant reference and disturbance signals) are given, for cases involving both known and unknown estimates of the steady-state gain matrix /spl Tscr/.
In this paper, new theoretical and simulated results for a robust adaptive stabilizing controller for unknown MIMO systems are presented, based upon the approach given originally in Miller and Davison (1989). The prop...
详细信息
In this paper, new theoretical and simulated results for a robust adaptive stabilizing controller for unknown MIMO systems are presented, based upon the approach given originally in Miller and Davison (1989). The proposed controller is nonlinear and of the switching type, and has the property that after a finite time, switching ceases, thereby resulting in the system being controlled by a LTI controller. In particular, the switching mechanism is simpler in nature than that previously presented in Miller and Davison (1988), does not need a preliminary identification period as given in Miller and Davison (1989), is noise insensitive to all bounded piecewise continuous disturbances w(t), and attempts to provide a "reasonable" transient response by directly "monitoring" plant output y(t).
In this paper, the adaptive control problem dealing with a family of MIMO LTI finite-dimensional plants recently examined by Miller and Davison (1990) is reconsidered. In particular, we present a new robust switching ...
详细信息
In this paper, the adaptive control problem dealing with a family of MIMO LTI finite-dimensional plants recently examined by Miller and Davison (1990) is reconsidered. In particular, we present a new robust switching mechanism which requires less a priori system information than previously assumed in Miller-Davison. Simulation results using this new controller are also given, and are compared with the output responses obtained using the controllers presented in Miller-Davison and Morse.
A hybrid model for representing knowledge in a Greek natural language interface to MS-DOS is presented. This model employs semantic knowledge of the operating system domain to develop a hybrid architecture integrating...
详细信息
A hybrid model for representing knowledge in a Greek natural language interface to MS-DOS is presented. This model employs semantic knowledge of the operating system domain to develop a hybrid architecture integrating symbolic and connectionist modules for recognizing the MS-DOS command labels of related or unrelated successive natural language user messages. This approach was deeply motivated by handling ellipsis, ambiguity and flexibility of sentence structure as well as possible. A comparative experimental evaluation of this approach to a symbolic one illustrating their pros and cons is also given. Finally, ways of extending this model are proposed with the view of making the natural language interface more user friendly and functional.
The paper introduces an idea of logical filtering viewed as a new tool for solving fuzzy relational equations. Considering the panoply of the existing methods, the proposed approach can be classified as a semi-analyti...
详细信息
The paper introduces an idea of logical filtering viewed as a new tool for solving fuzzy relational equations. Considering the panoply of the existing methods, the proposed approach can be classified as a semi-analytic method in the sense it departures from the individual analytical solutions to the individual equations in the system and combines them through an optimization process of logical filtering (masking). Several types of filtering are studied and provided with the detailed learning schemes.< >
When modelling a time series from discrete-time data, a continuous-time parametrization is desirable in some situations. It can have good numerical properties and low computational burden, in particular for fast or no...
详细信息
When modelling a time series from discrete-time data, a continuous-time parametrization is desirable in some situations. It can have good numerical properties and low computational burden, in particular for fast or nonuniform sampling. In a direct estimation approach, the derivatives are approximated by appropriate differences, leading to a linear regression model. It is shown that standard approximations like Euler backward or Euler forward cannot be used. The precise conditions on the derivative approximation are derived and analysed. It is shown that if the highest order derivative is selected with care, a least-squares estimate will be accurate. The theoretical analysis is complemented by some numerical examples.
In this paper, the authors describe their NSF sponsored research-curriculum program devoted to the topic of modeling and control of semiconductor manufacturing. The paper is focused for the most part on the curriculum...
详细信息
In this paper, the authors describe their NSF sponsored research-curriculum program devoted to the topic of modeling and control of semiconductor manufacturing. The paper is focused for the most part on the curriculum development under this program.
An algorithm for iterative learning control is proposed based on an optimization principle used by other authors to derive gradient type algorithms. The new algorithm is a descent algorithm and has potential benefits ...
详细信息
An algorithm for iterative learning control is proposed based on an optimization principle used by other authors to derive gradient type algorithms. The new algorithm is a descent algorithm and has potential benefits which include realization in terms of Riccati feedback and feed-forward components. This realization also has the advantage of implicitly ensuring automatic step size selection and hence guaranteeing convergence without the need for empirical choice of parameters. The algorithm achieves a geometric rate of convergence for invertible plants which can be arbitrarily changed by design parameters.
In this paper, we present a decoupled parameter estimation (DPE) algorithm for estimating sinusoidal parameters from both one-dimensional (1-D) and two-dimensional (2-D) data sequences corrupted by AR noise. In the fi...
详细信息
In this paper, we present a decoupled parameter estimation (DPE) algorithm for estimating sinusoidal parameters from both one-dimensional (1-D) and two-dimensional (2-D) data sequences corrupted by AR noise. In the first step of the DPE algorithm, we use a relaxation (RELAX) algorithm that requires simple fast Fourier transforms (FFTs) to obtain the estimates of the sinusoidal parameters. We describe how the RELAX algorithm may be used to extract radar target features from both 1-D and 2-D data sequences. In the second step of the DPE algorithm, a linear least squares approach is used to estimate the AR noise parameters. The DPE algorithm is both conceptually and computationally simple. The algorithm not only provides excellent estimation performance under the model assumptions, in which case the estimates obtained with the DPE algorithm are asymptotically statistically efficient, but is also robust to mismodeling errors.
This paper describes how the RELAX algorithm can be used for angle and waveform estimation of narrowband plane waves arriving at a uniform linear array in the presence of spatially colored noise. The RELAX algorithm i...
详细信息
This paper describes how the RELAX algorithm can be used for angle and waveform estimation of narrowband plane waves arriving at a uniform linear array in the presence of spatially colored noise. The RELAX algorithm is both conceptually and computationally simple; its implementation mainly requires a sequence of fast Fourier transforms. Both numerical and experimental examples are used to demonstrate the performance of the RELAX algorithm for angle and waveform estimation.
暂无评论