丁锋
1.系统辨识理论与方法2.复杂过程建模理论与方法3.多率系统辨识与控制4.控制理论中矩阵代数
个性化签名
- 姓名:丁锋
- 目前身份:
- 担任导师情况:
- 学位:
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学术头衔:
博士生导师
- 职称:-
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学科领域:
控制理论
- 研究兴趣:1.系统辨识理论与方法2.复杂过程建模理论与方法3.多率系统辨识与控制4.控制理论中矩阵代数
丁锋,男,教授、江南大学“太湖学者”特聘教授、博士生导师。
1988.9-2002.6清华大学自动化系硕士、博士学位获得者(荣获清华大学优秀博士论文奖)、讲师、副教授;
2002.7-2005.10月加拿大阿尔伯塔大学博士后(Post-Doctoral Fellow) / Research Associate;
2008.5-2009.10月加拿大卡尔顿大学(渥太华)和瑞尔森大学(多伦多)研究员(其中国家公派访问学者半年);
2004.10月-至今江南大学“太湖学者”特聘教授、博士生导师、学科带头人。
2008年入选江苏省“青蓝工程”中青年学术带头人培养对象。
2012年被授予无锡市有突出贡献中青年专家称号。
获得省部级自然科学三等奖和二等奖3次(排名第1),出版著作《自适应控制系统》(清华大学出版社,2002)、专著《系统辨识新论》(科学出版社,2013)、《辨识方法性能分析》(科学出版社,2014)。
主要研究方向:1.系统辨识理论与方法,2.复杂过程建模理论与方法,3.多率系统辨识与控制,4.控制理论中矩阵代数
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17
丁锋, Feng
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS—I: REGULAR PAPERS, VOL. 52, NO.6, JUNE 2005,-0001,():
-1年11月30日
This
model,
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丁锋, Feng
Int. J. Adapt. Control Signal Process. 2004; 18: 697-714,-0001,():
-1年11月30日
A polynomial transformation technique is used to obtain a frequency-domain model for a dual-rate system in which the output sampling period is an integer multiple of the input updating period. Based on this model, a self-tuning control algorithm is proposed by minimizing output tracking error criteria from directly the dual-rate input–output data. Convergence properties of the algorithm are analysed in detail in the stochastic framework. The output tracking error at the output sampling instants has the property of minimum variance. It is shown that the control algorithm can achieve virtually optimal control asymptotically, ensuring the closed-loop systems to be stable and globally convergent. A simulation example illustrates the self-tuning scheme presented.
multirate
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丁锋, Feng
Automatica 40(2004)1739-1748,-0001,():
-1年11月30日
For a dual-rate sampled-data system, an auxiliary model based identification algorithm for combined parameter and output estimation is proposed. The basic idea is to use an auxiliary model to estimate the unknown noise-free output (true output) of the system, and directly to identify the parameters of the underlying fast single-rate model from the dual-rate input–output data. It is shown that the parameter estimation error consistently converges to zero under generalized or weak persistent excitation conditions and unbounded noise variance, and that the output estimates uniformly converge to the true outputs. An example is included.
Dual-rate
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丁锋, Feng
Int. J. Adapt. Control Signal Process. 2004; 18: 589-598,-0001,():
-1年11月30日
Two
system
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丁锋, Feng
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 50, NO. 3, MARCH 2005,-0001,():
-1年11月30日
For
Convergence
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丁锋, Feng
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 50, NO. 8, AUGUST 2005,-0001,():
-1年11月30日
In
Gauss–Seidel iteration, gradient search, hierarchical identification principle, identification, Jacobi iteration, Lyapunov matrix equation, parameter estimation, Sylvester matrix equation.,
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丁锋, Feng
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 50, NO. 9, SEPTEMBER 2005,-0001,():
-1年11月30日
In
Convergence
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丁锋, Feng
Systems & Control Letters 54(2005)95-107,-0001,():
-1年11月30日
In this paper, we present a general family of iterative methods to solve linear equations, which includes the well-known Jacobi and Gauss–Seidel iterations as its special cases. The methods are extended to solve coupled Sylvester matrix equations. In our approach, we regard the unknown matrices to be solved as the system parameters to be identified, and propose a least-squares iterative algorithm by applying a hierarchical identification principle and by introducing the block-matrix inner product (the star product for short). We prove that the iterative solution consistently converges to the exact solution for any initial value. The algorithms proposed require less storage capacity than the existing numerical ones. Finally, the algorithms are tested on computer and the results verify the theoretical findings.
Sylvester matrix equation, Lyapunov matrix equation, Identification, Estimation, Least squares, Jacobi iteration, Gauss–Seidel iteration, Hadamard product, Star product, Hierarchical identification principle
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