[신간의 별자리x] 우리/미술, 그리고 ‘슬픔의 박물관’

Fractional Differential Equations

Theory of fuzzy integrals and its applications

(1987). Applied Probability and Queues. Journal of the Operational Research Society: Vol. 38, No. 11, pp. 1095-1096.

https://link.springer.com/content/pdf/10.1057%2Fjors.1987.184.pdf

Applied Probability and Queues

The state of the art of wind energy conversion systems and technologies: A review

Advanced fault-tolerant control schemes are required for ensuring efficient and reliable operation of complex technological systems such as ground vehicles. A novel approach to fault-tolerant control design is proposed for a full-scale vehicle dynamic model with an active suspension system in the presence of uncertainties and actuator faults. The proposed control scheme uses a sliding-mode controller to generate the tracking signal to the valve for each of the four wheel subsystems for mitigating three degrees of freedom (3-DOF) heave-roll-pitch motion arising from road undulations. For each of the electrohydraulic valve-cylinder pair in each subsystem, an adaptive proportional-integralderivative (PID) controller is proposed. Designing an adaptation scheme for the PID gains to accommodate actuator faults is among the main contributions of this work. The focus on actuator faults is motivated by the fact that loss of actuator effectiveness is a critical fault scenario in vehicle suspension systems and that the probability of occurrence of faults in actuators is higher and more severe when compared with other components. To analyze the performance of the proposed approach, computer simulations are carried out to illustrate control performance, robustness, and fault tolerance. The performance of our approach is then compared with that of the sliding-mode control (SMC) approach presented by Chamseddine and Noura. Results clearly indicate the strength of the adaptation scheme and its ability to mitigate fault effects in a short time. Simplicity of the overall scheme and the stabilization of the system under both faulty and fault-free conditions are the main positive features of the proposed approach.

Adaptive PID-Sliding-Mode Fault-Tolerant Control Approach for Vehicle Suspension Systems Subject to Actuator Faults

A probabilistic multi-objective approach for power flow optimization in hybrid wind-PV-PEV systems

Residual generation is an essential part of model-based fault detection schemes. For nonlinear systems, the task of residual generation is sometimes complicated by the size of the problem, or by the lack of a suitable model from where the residual can be gen- erated. This paper develops and implements neural-networks based system identification techniques for nonlinear systems with the specific goal of residual generation for fault de- tection purposes. Two NN structures were investigated in this paper: a new structure of partially connected neural networks (PCNN), and a conventional, fully connected neural network (FCNN). The two approaches are tested on a Boeing 747 aircraft model. Re- sults of computer experiments are reported. Performance comparisons of the two neural networks are presented.

/pdf/neural-networks-based-system-identification-techniques-for-46e0ogwe8m.pdf

Neural networks based system identification techniques for model based fault detection of nonlinear systems

This article proposes a fast reaching finite time synchronization approach for chaotic systems along with its application to medical image encryption. First, an adaptive terminal sliding mode tracking approach with fast reaching condition is designed to synchronize the chaotic systems at the transmitter and receiver ends in finite time. Then, a chaotic cryptosystem, using synchronized chaotic systems as secret keys generator, is proposed to enhance the security of medical image transmission and/or storage. The applicability and efficiency of the proposed synchronization approach is assessed using a simulation as well as an analytical study. The analysis encompassed security tools such as histogram analysis, correlation test, and information entropy change the rate of the number of pixels and unified average changing intensity. The obtained results confirmed the robustness and fast convergence rate of the proposed synchronization approach. The security analysis also shows that the proposed cryptosystem displays acceptable levels of resistance to various attacks.

/pdf/fast-reaching-finite-time-synchronization-approach-for-183bfwl8h7.pdf

Fast Reaching Finite Time synchronization Approach for Chaotic Systems With Application in Medical Image Encryption

This paper gives an overview of recent progress in theory and methods to analyze and design fault diagnosis and fault tolerant control techniques for aerospace systems. Passive and active approaches are presented and analyzed. Strongpoint and shortcomings of each approach are pointed out. Open problems related to the topic are also highlighted. The paper is written in a tutorial fashion to summarize some of the recent results in the subject area without going into details. A bibliographical review summarizing a decade of references is provided to allow interested readers to obtain more detailed information about the recent contributions in the field. Since the general areas of Fault Tolerant Control (FTC) and Fault Detection and Isolation (FDI) draws from a number of different technical areas in engineering and applied mathematics, no survey paper could hope to capture all existing contributions in the field.

Afef Fekih

Papers

Adaptive PID-Sliding-Mode Fault-Tolerant Control Approach for Vehicle Suspension Systems Subject to Actuator Faults

A probabilistic multi-objective approach for power flow optimization in hybrid wind-PV-PEV systems

Neural networks based system identification techniques for model based fault detection of nonlinear systems

Fast Reaching Finite Time synchronization Approach for Chaotic Systems With Application in Medical Image Encryption

Fault diagnosis and Fault Tolerant Control design for aerospace systems: A bibliographical review