On Energy-to-Peak Filtering for Nonuniformly Sampled Nonlinear Systems: A Markovian Jump System Approach

Yue

Abstract and Applied Analysis

2015

The pinning synchronization problem for a class of complex networks is studied by a stochastic viewpoint, in which both timevarying coupling strength and nondelayed and delayed coupling are included. Different from the traditionally similar methods, its interval is separated into two subintervals and described by a Bernoulli variable. Both bounds and switching probability of such subintervals are contained. Particularly, the nondelayed and delayed couplings occur alternately in which another independent Bernoulli variable is introduced. Then, a new kind of pinning controller without time-varying coupling strength signal is developed, in which only its bounds and probabilities are contained. When such probabilities are unavailable, two different kinds of adaption laws are established to make the complex network globally synchronous. Finally, the validity of the presented methods is proved through a numerical example.

Section: Resultsmentioning

confidence: 99%

New Pinning Synchronization of Complex Networks with Time-Varying Coupling Strength and Nondelayed and Delayed Coupling

Yue

Abstract and Applied Analysis

2015

“…Generally speaking, the designed controller is passive uncertainty tolerable. In the future research, we will employ the Takagi-Sugeno (T-S) [44][45][46][47][48] fuzzy model and the backstepping technique [49,50] to study the system.…”

Section: Discussionmentioning

confidence: 99%

Robust H ∞ sliding mode control with pole placement for a fluid power electrohydraulic actuator (EHA) system

Zhang

Liu

Int J Adv Manuf Technol

et al. 2014

Self Cite

In this paper, we exploit the sliding mode control problem for a fluid power electrohydraulic actuator (EHA) system. To characterize the nonlinearity of the friction, the EHA system is modeled as a linear system with a system uncertainty. Practically, it is assumed that the system is also subject to the load disturbance and the external noise. An integral sliding mode controller is proposed to design. The advanced techniques such as the H ∞ control and the regional pole placement are employed to derive the optimal feedback gain which can be calculated by solving a necessary and sufficient condition in the form of linear matrix inequality. A sliding mode control law is developed such that the sliding mode reaching law is satisfied. Simulation and comparison results show the effectiveness of the proposed design method.

Int J Adv Manuf Technol

“…Therefore, data must be assessed before it is transferred to the database. Data cleaning, quality assessment, and missing data reconstruction may be considered using established approaches such as artificial intelligence techniques [39] and advanced estimation based methods for non-uniformly sampled systems [40].…”

Section: Operation and Maintenance Databasementioning

confidence: 99%

Towards farm-level health management of offshore wind farms for maintenance improvements

Kandukuri

Robbersmyr

Karimi

2015

This paper studies a conceptual architecture for health management of offshore wind farms. To this aim, various necessary enablers of a health management system are presented to improve reliability and availability while optimizing maintenance costs. The main focus lies on improving existing condition monitoring systems based on concepts of condition-based maintenance and reliability centered maintenance. A brief review of the relevant state-of-the-art is presented and gaps to be filled towards realization of such health management system are discussed.