Institution
Northeastern University (China)
Education•Shenyang, China•
About: Northeastern University (China) is a education organization based out in Shenyang, China. It is known for research contribution in the topics: Microstructure & Control theory. The organization has 36087 authors who have published 36125 publications receiving 426807 citations. The organization is also known as: Dōngběi Dàxué & Northeastern University (东北大学).
Papers published on a yearly basis
Papers
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TL;DR: A fault detection observer is designed by employing two performance indesxes which are used to increase the fault sensitivity in finite frequency domain and attenuate the effects of disturbances in full frequency domain.
Abstract: This paper deals with the fault detection (FD) problem in the finite frequency domain for linear time-invariant discrete-time systems with bounded disturbances. A fault detection observer is designed by employing two performance indesxes which are used to increase the fault sensitivity in finite frequency domain and attenuate the effects of disturbances in full frequency domain. With the aid of the generalized Kalman–Yakubovich–Popov (GKYP) Lemma, the design methods are presented in terms of solutions to a set of linear matrix inequalities (LMIs). Numerical examples are given to illustrate the effectiveness of the proposed method.
123 citations
TL;DR: A nonlinear traverse on the plain-image using dependent diffusion and reverse cat map is proposed to replace the traditional linear traverse performed in the confusion phase.
123 citations
TL;DR: This paper investigates the fault detection and isolation (FDI) problem for a class of nonlinear state-feedback control systems with parameter uncertainties by introducing a switching technique to address the uncertain grades of membership, external disturbances, local nonlinear parts, faults, and the coupling of them.
Abstract: This paper investigates the fault detection and isolation (FDI) problem for a class of nonlinear state-feedback control systems with parameter uncertainties. First, the considered nonlinear systems are described by multiple T-S fuzzy models with uncertain grades of membership and local nonlinear parts in normal case and faulty cases. Then, a switching technique is introduced to address the uncertain grades of membership, external disturbances, local nonlinear parts, faults, and the coupling of them. In a multiple-model scheme, a bank of FDI observers are constructed, each of which is based on the T-S model that describes the system in the presence of a particular fault, such that one of them can track the current system state, and the corresponding observer estimate error can converge exponentially to zero. Finally, two examples are given to illustrate the effectiveness and advantages of the new results.
123 citations
TL;DR: In this article, an artificial neural network (ANN) model was developed to predict the flow stress of a Ti600 titanium alloy by a Gleeble 1500D thermo-mechanical test simulator over the temperature range from 760 to 920 °C and strain rate range from 0.01 to 10 ǫ s −1.
123 citations
TL;DR: In this article, the authors study the fundamentals of mesoscale structure and texture development in face-centered-cubic (fcc) metals with low stacking fault energy (SFE).
123 citations
Authors
Showing all 36436 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Rui Zhang | 151 | 2625 | 107917 |
| Hui-Ming Cheng | 147 | 880 | 111921 |
| Yonggang Huang | 136 | 797 | 69290 |
| Yang Liu | 129 | 2506 | 122380 |
| Tao Zhang | 123 | 2772 | 83866 |
| J. R. Dahn | 120 | 832 | 66025 |
| Terence G. Langdon | 117 | 1158 | 61603 |
| Frank L. Lewis | 114 | 1045 | 60497 |
| Xin Li | 114 | 2778 | 71389 |
| Peng Wang | 108 | 1672 | 54529 |
| David J. Hill | 107 | 1364 | 57746 |
| Jian Zhang | 107 | 3064 | 69715 |
| Xuemin Shen | 106 | 1221 | 44959 |
| Yi Zhang | 102 | 1817 | 53417 |
| Tao Li | 102 | 2483 | 60947 |