Yonghong Tan

Shanghai Normal University | SHNU · College of Information, Mechanical and Electrical Engineering

The electromagnetic driven micro-mirror (EDMM) is contaminated with noise measured by piezoresistive sensors located in the basement of the chip during the process of angle positioning. In this paper, a novel residual weight adaptive filter (RWAF) for EDMM is proposed to deal with the problem of noise pollution and eliminating outliers. Above all,...

Due to the existence of hysteresis and unmeasured electromagnetic torque, it is not easy to establish an accurate model of an electromagnetic scanning micromirror (ESMM) system. Therefore, the use of model-based angle control strategies limits the large-scale application of ESMM chips in industrial manufacturing. In this article, a model independen...

In this paper, a simplified dynamic model is constructed to describe the main characteristic of electromagnetic micro-mirror. Then, based on the information provided by the derived simplified model, a model-guided extremum seeking control (MGESC) scheme with backtracking line search is developed, which can automatically estimate the best value of s...

Now two problems result in bad control in the development of the electromagnetic micromirror system. One is that theoretical model in electromagnetic micromirror system is difficult to be determined; Another is that parameters in common control need to be tuned according to the experience. In this paper, cost function concept is proposed to determi...

In this paper, 10 resonant modes were divided based on the structure of a specific two-dimensional electromagnetic micromirror from Professor Shen’s team and Finite Element Method (FEM), and using as many as 10 resonant modes to do such analysis was the first time according to the best of our knowledge. The results showed that the slow axis can par...

In this paper, a robust-nonsmooth Kalman filtering approach for stochastic sandwich systems with dead-zone is proposed, which can guarantee the variance of filtering error to be upper bounded. In this approach, the stochastic sandwich system with dead-zone is described by a stochastic nonsmooth state-space function. Then, in order to approximate th...

Emotion recognition is helpful for human to enhance self-awareness and respond appropriately toward the happenings around them. Due to the complexity and diversity of emotions, EEG-based emotion recognition is still a challenging task in pattern recognition. In order to recognize diverse emotions, we propose a novel firefly integrated optimization...

In this paper, a precision positioning control approach of a linear exhaust gas recirculation valve (LEGRV) system using on-line optimization technique is proposed. As both dynamics and nonlinear factors including hysteretic features are inherent in LEGRV systems, the modeling of system is not an easy process. In order to avoid the complex obstacle...

In this paper, a non-smooth observer is proposed to estimate the states of a sandwich system with hysteresis. Based on the analysis of observability of this system, a non-smooth observer is constructed. The non-smooth observer has a switchable transition matrix and contains an additional item which can switch according to the working zone of the sy...

Hysteresis is a nonlinear phenomenon which is involved with dynamics, non-smoothness and multi-valued mapping. It usually exists in elastic materials, smart materials, and energy-storage materials. For describing the characteristic of hysteresis, a basis function based neural network model is proposed in this paper. In this method, the multi-valued...

Due to high dimensionality and multiple variables, unsupervised classification of multivariate time series (MTS) involves more challenging problems than those of univariate ones. Unlike the vectorization of a feature matrix in traditional clustering algorithms, an unsupervised pattern recognition scheme based on matrix data is proposed for MTS samp...

Due to high dimensionality and multiple variables, unsupervised classification of 12-lead ECG signals involves challenges and difficulties. In order to automatically discover unknown physiological features from raw multivariate signals and detect abnormal cardiac activities of a subject, we proposed an unsupervised classification scheme of 12-lead...

A non-smooth neural network is proposed for modeling of hysteresis with non-smooth characteristic and multi-valued mapping. In the proposed non-smooth neural network, the non-smooth neurons with multi-valued mapping are constructed for depicting the non-smoothness and multi-valued mapping of hysteresis inherent in piezo-actuators. For parameter est...

Underdamped feature and hysteresis existing in electromagnetic scanning micro-mirrors (EMSMs) often lead to oscillation and undesired positioning error of deflection angle. In this paper, a model-based robust scheme is proposed for the angle tuning of mirror plate of the EMSM. To build a proper model for describing the behavior of EMSM, which is al...

On the basis of wavelet theory, a novel Adaptive wavelet thresholding method (AWT) is proposed for the ECG signal enhancement. The best base wavelet for ECG signal filtering can be automatically obtained through the cross correlation coefficient and the energy to entropy ratio. The variable universal threshold (VarUniversal) is applied to different...

In this paper, a data-driven modeling method for electromagnetically actuated micromirror in random noisy environment is proposed. In this method, the electromagnetic micromirror is considered as a dynamic system with preceded hysteresis. Then, a linear dynamic submodel is used to describe the angular deflection mechanism, while a preceded rate-dep...

With the increasing number of wearable sensors and mobile devices, human activity recognition (HAR) based on multiple sensors has attracted more and more attention in recent years. On account of the diversity of human actions, the analysis of multivariate signals of activities is still a challenging task. Clustering is an unsupervised classificatio...

In this paper, a multi-step-ahead predictive control approach for dynamic systems with preceded backlash-like hysteresis based on nonsmooth nonlinear programming is proposed. In this approach, a nonsmooth multi-step-ahead predictive model is developed for long-range prediction of the controlled dynamic systems with preceded backlash-like hysteresis...

Many actuators and sensors made by smart materials have hysteresis feature which is a complex nonlinear phenomenon with multivalued mapping. Accurate identification of hysteresis pattern in those sensors and actuators is helpful for improving the modeling and control strategies of the systems. In this paper, a general framework of the pattern clust...

In order to automatically recognize the patterns of ECG signals for different subjects, a new entropy-based principal component analysis (EPCA) is developed in this paper for dimensionality reduction of ECG signals. With the EPCA, Pb, the best number of principal components for a specific subject, is automatically determined by the energy to entrop...

Non-smooth sandwich systems with dead-zone widely exist in the real engineering applications. For accurately detecting its faults, a novel robust observer has been proposed in this paper. With the consideration of the model uncertainties, disturbances, and switching error which specially belongs to the system, the so-called general disturbance is d...

In this paper, an approach for analyzing the observability and controllability of micro-positioning stage with piezoelectric actuator described by sandwich model with hysteresis is proposed. As hysteresis inherent in piezoelectric actuator is a non-smooth nonlinear function with multi-valued mapping, the positioning system is also a non-smooth dyna...

In this paper, a non-smooth Kalman filter- ing method is proposed for noise suppression of micro- positioning stages with piezoelectric actuators described by the so-called sandwich model with hysteresis. Accord- ing to the characteristics of the system, a non-smooth s- tochastic state-space equation is constructed. In this mod- el, an auto-switche...

This paper proposes a non-smooth predictive control approach for mechanical transmission systems described by dynamic models with preceded backlash-like hysteresis. In this type of system, the work platform is driven by a DC motor through a gearbox. The work platform is represented by a linear dynamic sub-model connected in series with a backlash-l...

In this brief, a switching Kalman filtering (SKF) method is proposed for the state estimation of macromotion positioning tables disturbed by random noises. In this method, the macromotion positioning tables working in noisy environment are described by the so-called stochastic sandwich models with a dead zone. In this scheme, a nonsmooth stochastic...

In this paper, a novel switching non-smooth observer is proposed to deal with the state estimation of compound non-smooth sandwich system with backlash and dead zone. Based on the characteristic of the system, two separate non-smooth state-space functions are constructed to describe the input–output relationships of backlash. Then, a Luenberger-typ...

As the hysteresis inherent in the piezoceramic actuator is a nonsmooth nonlinear with multivalued mapping, the hysteresis subsystem is preceded in series with a linear subsystem and the output of the hysteresis cannot be measured directly, it is very difficult to use the traditional filter to estimate the states of system. In this paper, a non-smoo...

In this brief, a recursive identification method for a micropositioning stage with piezo actuators is proposed. This method utilizes a sandwich model for describing nonlinear dynamics of the stage. In this model, both power amplifier with filtering circuit and the flexure hinge with load are described by linear dynamic submodels, respectively, wher...

Many practical systems in control engineering can be described as the so-called sandwich systems with backlash. As the embedded backlash is a complicated non-smooth nonlinear function with local memory and multi-valued mapping, the estimation of internal states for the whole sandwich systems becomes a challenge. Based on the separation principle fo...

In this paper, a two-step identification method for a micropositioning stage with piezoelectric actuator is proposed. It is noted that one of the difficulties encountered in identification is that both input and output of the actuator embedded in the stage cannot be measured directly. Moreover, hysteresis existing in piezoelectric actuators is a no...

In the real application, realizing the accurate fault prediction of non-smooth sandwich system with hysteresis which widely exists in the real engineering systems is of great importance. Therefore, a novel dynamic robust observer is proposed in this paper. First, the non-smooth sandwich system with hysteresis is transformed into a system in which c...

In this paper, an approach to analyze the observability and controllability of sandwich systems with backlash is proposed. In this method, a non-smooth state-space function is used to describe the sandwich systems with backlash which are also non-smooth non-linear systems. Then, a linearization method based on non-smooth optimization is proposed to...

In this paper, a novel non-smooth observer is proposed to handle the soft measurement of the states of the sandwich system with dead zone. The convergence theorem of the non-smooth observer and its proof are given, respectively. After that, the experimental results are presented. The comparison between the proposed non-smooth scheme and the convent...

The selection of an appropriate wavelet is an essential issue that should be addressed in the wavelet-based filtering of electrocardiogram (ECG) signals. Since entropy can measure the features of uncertainty associated with the ECG signal, a novel comprehensive entropy criterion Ecom based on multiple criteria related to entropy and energy is propo...

This paper proposes a scheme of fault detection for piezoceramic actuator described by so-called sandwich system models with hysteresis. In this scheme, the state variables of the system are estimated by a non-smooth observer due to the effect of hysteresis inherent in the piezoceramic actuator can not be neglected. The fault detection is based on...

In the practical application, realizing the accurate fault prediction of non-smooth sandwich system with backlash which widely exists in the real engineering systems is of great importance. Therefore, a novel dynamic robust observer is proposed in this paper. First, the non-smooth sandwich system with backlash is transformed into a system in which...

In this paper, an experimental stage for IPMC sensors will be designed, and characteristics of the sensor are analyzed based on experimental data. From analyses, it is known that IPMC sensors are inherent with both hysteresis and dynamic features. The existence of hysteresis and dynamics will degrade the performance of the sensor. Hence, it should...

It is known that IPMC sensors can be used for the measurement of displacement and vibration. However, the IPMC sensors are also involved with both hysteresis and dynamics which significantly affect the performance of the measurement. In this paper, a model based compensation scheme to degrade the effect of hysteresis and dynamics is proposed. First...

In this paper, a nonsmooth predictive control method for Wiener systems with backlash-like hysteresis is proposed. In this type of system, the backlash-like hysteresis is connected in series with a preceded linear dynamic subsystem. A backlash-like hysteresis is modeled as a nonsmooth function with multivalued mapping; the corresponding objective f...

Ionic Polymer-Metal Composite (IPMC) is a kind of smart material which can be used as sensors or actuators. As IPMC is very flexible and can produce larger electric signal when it is deformed, it is more suitable to be used as sensors to measure deformation, displacement and flow rate. However, hysteresis existing in IPMC will deteriorate the perfo...

A novel phenomenal model for hysteresis in smart actuators is proposed in this paper. One of the features of this model is that it does not include any basis functions. Hence, it has much simpler structure than the well known Preisach model, KP model and PI model. Another feature of this model is that it does not rely on any differential variables....

In this paper, an iterative identification for the Hammerstein model, which consists of a static nonlinear part in cascade with a linear dynamic part, is introduced. Therein, the static nonlinear part is composed of two-segment polynomials in series with dead-zone nonlinearities, while the linear part takes on the asymmetric ARX(autoregressive with...

An online modelified Kalman filtering (MKF) algorithm for the parameter identification of sandwich systems with dead zone is proposed in this paper. With the switch functions introduced to represent the effect of dead zone, the pseudo-linear model with separated parameters to describe the sandwich system with dead zone is obtained. On account of th...

Low Temperature Combustion (LTC) modes in diesel engines are characterized by enhanced homogeneity of the combustion mixture resulting from a longer ignition delay when compared to conventional diesel combustion. This is enabled by charge density and dilution control, coupled with modulation of fuel injection parameters. Charge dilution is achieved...

A systematic design procedure for the identification of dynamic sandwich system with hysteresis (DSSH) is proposed. The nonlinear auto-regressive and moving average model with exogenous input (NARMAX) is utilized to describe the behavior of DSSH based on the input space expansion. Since the input–output characteristic of DSSH is usually a distorted...

The problem of online selection of monocular view sequences for an arbitrary task in a calibrated multi-camera network is investigated. An objective function for the quality of a view sequence is derived from a novel task-oriented, model-based instantaneous coverage quality criterion and a criterion of the smoothness of view transitions over time....

The construction and corresponding optimization method of a new SPICE model for generating arbitrary periodical waveform are presented. Unlike the model based on rectangular wave source, the new model is composed of periodical oblique wave sources. The periodical oblique wave source is built by using fundamental pulse sources connected in series wi...

Devices which can obtain comparable bilaterally symmetrical acupoints (BSA) multifrequency impedances (MFI) are often needed in the detection of the energy balance states of acupoints in traditional Chinese medicine. To satisfy these needs, a two-channel impedance measurement system has been introduced which is capable of accurately and simultaneou...

This paper proposes a discrete-time nonsmooth internal model control (NSIMC) approach for mechanical transmission systems described by so-called sandwich system with backlash. In this method, a dynamic compensator is introduced to compensate for the effect of the input linear subsystem. Thus, the sandwich systems with backlash can be simplified as...

Ionic Polymer-Metal Composite (IPMC) is a new smart material which has sensing capability. In this paper, an experimental setup to characterize IPMC sensor is developed and corresponding sensor model is constructed based on neural networks. Similar to the other smart materials, intrinsic hysteresis nonlinearity is inherent in IPMC sensors. In this...

Backlash-like hysteresis is one of the nonsmooth and multi-valued nonlinearities usually existing in mechanical systems. The traditional identification method is quite difficult to be used to model the systems involved with such complex nonlinearities. In this paper, a nonsmooth recursive identification algorithm for the systems with backlashlike h...

In this paper, a modeling method of XY micropositioning stage with piezoelectric actuators is proposed. In the modeling scheme, a sandwich model consists of both input and output linear submodels, and an embedded neural-network-based hysteresis submodel is used to describe the motion behavior of each axis of the stage. Moreover, a neural-network-ba...

As the hysteresis embedded in the piezoceramic actuator is a nonsmooth nonlinear and rate-dependent function with multivalued mapping, also the input and output of the hysteresis cannot be measured directly, it is very difficult to use the traditional schemes to identify and control such a system. In this paper, a piezoceramic actuator is described...

Chinese traditional medicine (CTM) plays an important role in illness treatment and medicare for a long time due to its safety, effectiveness, low-cost and no obvious side effects. However, the meridian theory, the fundamental theory of CTM, has mainly depended on empirical methods up to now. In this paper, a feature extraction method of meridian s...

This paper proposes a scheme of fault detection for mechanical transmission system described by so-called sandwich models with backlash. In this scheme, the state variables of the system are estimated by a non-smooth observer due to the effect of backlash inherent in the transmission system can not be neglected. The fault detection is based on the...