Published in ISA transactions
In practical applications and daily life, dynamic multiobjective optimization problems (DMOPs) are ubiquitous. The purpose of dealing with DMOPs is to track moving Pareto Front (PF) and find a series of Pareto Set (PS) at different times. Prediction-based strategies improve the performance of multiobjective evolutionary algorithms in dynamic enviro...
Published in ISA transactions
Due to the complexity of the industrial working environment, controllers are susceptible to various disturbance signals, resulting in unsatisfactory control performance. Therefore, it is especially important to assess the controller performance. Considering the harmful effect of measurement noise on controller performance assessment (CPA) based on ...
Published in ISA transactions
For industrial processes, one common drawback of conventional process monitoring methods is that they would make an increasing number of false alarms in cases of various factors such as catalyst deactivation, seasonal fluctuation and so forth. To address this issue, the present work proposes an online dictionary learning method, which can fulfill t...
Published in ISA transactions
Active Disturbance Rejection Control (ADRC) emerged as a promising control solution in various engineering domains. However, increased ADRC order makes it difficult to implement and tune in practice. On the other hand, Reduced-order ADRC (RADRC) structure solves this issue with the appropriate tuning of its parameters to achieve the desired perform...
Published in ISA transactions
In this paper, a novel recursive learning identification approach is proposed to estimate the parameters of the Wiener systems with quantized output. By using a filter with adaptive performance, the data preprocessing is achieved based on the system data. To derive the error information of parameter estimation, some filtered and intermediate variab...
Published in ISA transactions
The five phase induction motor (FPIM) is a very suitable choice for different industrial applications which require high reliability. This is due to the ability of the motor to keep operating even with open stator phases. However, to ensure the right operation and for achieving the desired dynamic performance in terms of reduced torque fluctuations...
Published in ISA transactions
Nowadays, most intelligent diagnosis methods focus on fault classification and the discriminative knowledge is unknown due to the 'black box' characteristic. However, impulse responses in vibration signals, which is important sign to determine whether mechanical equipment is faulty, are rarely studied under intelligent methods since their recogniti...
Published in ISA transactions
In this paper, a quantized controller is designed for a class of uncertain nonlinear systems subjected to unknown disturbances and unknown dead-zone nonlinearity. A general class of strict feedback nonlinear systems is taken as the plant to design the controller. Here, each differential equation of the system is considered to have unknown parameter...
Published in ISA transactions
In this work, a novel methodology for tuning fractional order controller, so-called fractional order pole placement (FOPP) is proposed. The proposed methodology extends classical (integer order) pole placement technique, using commensurable transfer functions for representing fractional order controllers and placing the fractional dominant poles wi...
Published in ISA transactions
Image fusion expands the space-time scope of the detection target by making full use of the information complementarity between images, which is useful for automatic target recognition. An adaptive fractional multi-scale edge-preserving decomposition based on the weighted least square framework is proposed to fuse infrared (IR) and visible (VIS) im...
