State Key Laboratory of Synthetical Automation for Process Industries

Shenyang, China

State Key Laboratory of Synthetical Automation for Process Industries

Shenyang, China

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Zhang H.,Northeastern University China | Zhang H.,State Key Laboratory of Synthetical Automation for Process Industries | Yang F.,Northeastern University China | Yang F.,State Key Laboratory of Synthetical Automation for Process Industries | And 3 more authors.
IEEE Transactions on Neural Networks and Learning Systems | Year: 2013

In this paper, a novel method is developed for the stability problem of a class of neural networks with time-varying delay. New delay-dependent stability criteria in terms of linear matrix inequalities for recurrent neural networks with time-varying delay are derived by the newly proposed augmented simple Lyapunov-Krasovski functional. Different from previous results by using the first-order convex combination property, our derivation applies the idea of second-order convex combination and the property of quadratic convex function which is given in the form of a lemma without resorting to Jensen's inequality. A numerical example is provided to verify the effectiveness and superiority of the presented results. © 2012 IEEE.


Qiao J.,Shenyang University of Technology | Chai T.,State Key Laboratory of Synthetical Automation for Process Industries
IEEE Transactions on Control Systems Technology | Year: 2015

In cement raw meal calcination process, it is very difficult to guarantee the calciner temperature be controlled within its targeted range and the outlet temperature of preheater C5 (i.e., the no. 5 preheater) be less than the maximum value, because of varying boundary conditions and the flow of raw meal. Conventional control could often lead to operational failure, such as C5 feeding tube clogged. To solve this problem, an intelligence-based temperature switching control strategy has been proposed. The control strategy consists of a fuzzy controller based on T-S, an abnormal condition controller, and a switching mechanism based on rule reasoning with a feedforward compensation. Practical application to a raw meal calcination process has shown that this control strategy can ensure that the calciner temperature is within its targeted range and the outlet temperature of the preheater C5 is less than the maximum value, even when the boundary conditions vary frequently. Moreover, it has been observed that the proposed control strategy can avoid the faulty operating condition and effectively increase the decomposition ratio of the raw meal. © 1993-2012 IEEE.


Yang F.,Northeastern University China | Zhang H.,Northeastern University China | Zhang H.,State Key Laboratory of Synthetical Automation for Process Industries | Wang Y.,Northeastern University China
Nonlinear Dynamics | Year: 2014

The problem of sampled-data control is investigated for Takagi-Sugeno (T-S) fuzzy systems with aperiodic sampling intervals based on an enhanced input-delay approach. Delay-dependent stability and stabilizability conditions for the closed-loop continuous nonuniformly sampled-data fuzzy systems are derived by constructing a novel discontinuous Lyapunov-Krasovskii (L-K) functional, which makes good use of not only the upper bound on the variable sampling interval, but also its sawtooth structure information about varying input delay often ignored in previous results. A bounding technique combined by reciprocally convex technics and linear convex combination is presented for acquiring the time derivative of the functional, wherein Jensen's inequality and Wirtinger's inequality are integratively employed. And a feasible solution of the obtained criterion formulated as parameterized linear matrix inequalities is ultimately conceived. A numerical example is given to show the effectiveness of the proposed method. © 2013 Springer Science+Business Media Dordrecht.


Hu S.,Northeastern University China | Zhao Y.,State Key Laboratory of Synthetical Automation for Process Industries | Hu H.,Northeastern University China
Sensors and Actuators, B: Chemical | Year: 2014

This work presented the model of dieletrophoresis (DEP) and tapered fiber technology. The aim was to improve the sensitivity of oil concentration measurement in the separation of oil-water mixture process. Simulations via COMSOL v4.3b Multiphysics software were implemented to calculate and study the distribution of electric field, which was generated from both sides of tapered fiber with two metal-coated silver electrodes using direct current (DC) electric fields. The emulsified oil particles with radius of 0.09 μm could be repelled from the strong electric field region so as to change the refractive index around the tapered fiber region. Then, the evanescent wave field would induce to change the transmission intensity of the optical fiber. The finite element method (FEM) was used to solve optical wave field coupled convection-diffusion-migration (CDM) equation. The results indicated that the oil concentration measurement sensitivity of the proposed sensor was increased to be 25% higher than that of an identical tapered fiber sensor without negative DEP. © 2014 Elsevier B.V.


Fu Y.,State Key Laboratory of Synthetical Automation for Process Industries
Chinese Control Conference, CCC | Year: 2012

In this paper, for a class of uncertain multivariable linear systems with input amplitude, an adaptive decoupling controller is proposed. First, According to the Lagrangian relaxation method, an optimal decoupling controller is presented by introducing the Lagrangian multipliers and the relaxation operators. Then, the uncertainty of the system is considered and based on the optimal decoupling controller, the adaptive decoupling controller is proposed. The conditions of the BIBO stability for the closed loop system is given. Finally, simulations are conducted and the results show the effectively of the proposed method. © 2012 Chinese Assoc of Automati.


Fang Z.,State Key Laboratory of Synthetical Automation for Process Industries | Zhang L.,State Key Laboratory of Synthetical Automation for Process Industries
2013 IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2013 | Year: 2013

This paper presents a multi-objective exploration strategy for autonomous exploration of unknown indoor environments. The strategy mainly consists of two parts. First, it evaluates and determines the best frontier by considering the sensor information, localizability and navigation distance simultaneously. Second, a motion planning method considering the robot uncertainty is used to generate trajectories towards selected frontier. Compared to other exploration algorithms, we pay much attention to how to ensure accurate localization during the exploration and motion planning, which means the strategy should select frontiers and generate trajectories that provide sufficient information to keep the robot well-localized. Simulation experiments are presented to show the feasibility of the proposed strategy. © 2013 IEEE.


Zhang Y.-N.,Northeastern University China | Zhao Y.,Northeastern University China | Zhao Y.,State Key Laboratory of Synthetical Automation for Process Industries | Li J.,Northeastern University China
Applied Optics | Year: 2015

Slow light engineering of slotted photonic crystal waveguides is realized by combining the benefits of both elliptical holes and optofluidic infiltration. By adjusting the refractive indices of optofluidics infiltrated in the first and second rows of elliptical holes adjacent to the slot, slow light can be improved to possess a high group index and wide bandwidth at the same time. Considering a criterion of restricting the group index variation within a ±10% range as a flat region, the corresponding bandwidths of the flat band can reach 17.92, 7.2, 3.65, and 1.8 nm around 1550 nm when the group indices are kept at constants of approximately 32, 57, 110, and 2.5, respectively. In addition, the capability of engineering slow light properties after fabrication is of interest for compensating fabrication errors. © 2015 Optical Society of America.


Zhao Y.,Northeastern University China | Zhao Y.,State Key Laboratory of Synthetical Automation for Process Industries | Li X.-G.,Northeastern University China | Cai L.,Northeastern University China
Sensors and Actuators, A: Physical | Year: 2015

A highly sensitive refractive index (RI) sensor based on all-fiber Mach-Zehnder interferometer (MZI) was simulated and demonstrated. It was fabricated by splicing a section of single mode fiber (SMF) between two SMFs with a slight core offset at two splicing joints, which were used to excite cladding modes and couple the core mode to cladding modes. And then the interference between the core and cladding modes was utilized to measure sounding RI and the sensitivity of the sensor was enhanced by tapering fiber. Experimental results showed that the measured RI sensitivity could be up to 78.7 nm/RIU in the range of 1.333-1.374. Meanwhile, the sensor has the advantages of simple structure, small size, high sensitivity and low cost. © 2015 Elsevier B.V. All rights reserved.


Zhang Y.-N.,Northeastern University China | Zhao Y.,Northeastern University China | Zhao Y.,State Key Laboratory of Synthetical Automation for Process Industries | Wang Q.,Northeastern University China
Sensors and Actuators, A: Physical | Year: 2014

An optical fiber Mach-Zehnder interferometer (MZI) based on slow light in polymer-infiltrated PCW (PI-PCW) was proposed to enhance the demodulation sensitivity of fiber Bragg grating (FBG) displacement sensor. By optimizing the structure of PI-PCW, slow light with high group index of 110 was realized, which is advantageous to develop high-sensitive MZI. And thanks to electro-optic effect of the infiltrated polymer, the working wavelength of flat band slow light, as well as the demodulation range of MZI, could be flexibility changed and enlarged by tuning external driving voltage. At last, differential and orthogonal method was used to demodulate the interference spectrum of MZI with high stability and good linearity. The FBG was pasted on an Omega-like beam, thus the displacement variation of the free end of the Omega-like beam could be measured by monitoring the output phase of MZI. Finally, the proposed displacement sensor demonstrated a high sensitivity of 1.035 rad/mm with good linearity and wide measurement range of 55.6 mm. © 2014 Elsevier B.V.


Yang F.,Northeastern University China | Zhang H.,Northeastern University China | Zhang H.,State Key Laboratory of Synthetical Automation for Process Industries | Hui G.,Northeastern University China | Wang S.,Northeastern University China
Fuzzy Sets and Systems | Year: 2012

This paper develops a fault-tolerant variable sampling control (VSC) scheme for a class of nonlinear networked control systems (NCSs) with time-varying state and random network delays. An uncertain continuous Takagi-Sugeno (T-S) fuzzy system with both state and input varying delays, in the presence of possible actuator faults, is obtained equivalently on the basis of the input delay methodology. A tighter bounding lemma is proposed so as to gain less conservative closed-loop stability criteria. Delay-dependent conditions in terms of linear matrix inequalities are derived for the mode-independent fault-tolerant stabilizing controller of the resulting Markovian network-based system by employing a novel stochastic Lyapunov-Krasovskii (L-K) functional. An illustrative example is simulated to show the validity of the obtained results. © 2012 Elsevier B.V. All rights reserved.

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