A5050354630- Adaptive Control of Nonlinear Systems
- Adaptive Dynamic Programming Control
- Security and Verification in Computing
- Distributed Control Multi-Agent Systems
- Neural Networks Stability and Synchronization
- Advanced Malware Detection Techniques
- Biometric Identification and Security
- Piezoelectric Actuators and Control
- Iterative Learning Control Systems
- Advanced Memory and Neural Computing
- Nonlinear Dynamics and Pattern Formation
- Fault Detection and Control Systems
- Control and Dynamics of Mobile Robots
- User Authentication and Security Systems
- Stability and Control of Uncertain Systems
- Cryptography and Data Security
- Face recognition and analysis
- Machine Fault Diagnosis Techniques
- Parallel Computing and Optimization Techniques
- Advanced Control Systems Optimization
- Shape Memory Alloy Transformations
- Physical Unclonable Functions (PUFs) and Hardware Security
- Digital and Cyber Forensics
- Mathematical and Theoretical Epidemiology and Ecology Models
- Frequency Control in Power Systems
King Abdulaziz University
2021-2024
Purdue University West Lafayette
2018-2022
Delhi Technological University
2021
University of Colorado Colorado Springs
2017-2018
AbstractIn this paper, an adaptive tracking control approach is developed for full-state constrained switched nonlinear systems that have actuator saturation, periodic disturbances and unknown direction. To deal with the constraints, Barrier Lyapunov functions are introduced to limit state variables within corresponding constraint conditions. Meanwhile, Fourier series expansion technology employed dynamics jointly. Additionally, a Nussbaum-type function used in controller design cope gain...
This article presents an event-based adaptive decentralised output feedback control scheme for interconnected systems with Bouc-Wen hysteresis and unmeasured system states. To reduce some unnecessary data transmissions, a novel dynamic threshold adjustable event-triggering mechanism is proposed. In contrast the traditional static mechanism, communication efficiency greatly enhanced. Then, neural networks-based observer constructed to address problem of states, surface method used ‘explosion...
Abstract This article investigates the active disturbance rejection‐based distributed event‐triggered bipartite consensus problem of nonaffine nonlinear multiagent systems with input saturation. To reduce update frequency control signal, an mechanism is employed for each follower. Additionally, rejection technology, as a combination extended state observer and tracking differentiator, introduced to estimate uncertainties system address explosion complexity in backstepping design process....
Intel SGX provides confidentiality and integrity of a program running within the confines an enclave, is expected to enable valuable security applications such as private information retrieval.This paper concerned with aspects in accessing key system resource, files.Through concrete attack scenarios, we show that all existing filesystems are vulnerable either call snooping, page fault, or cache based side-channel attacks.To address this limitations current filesystems, present OBLIVIATE,...
This paper studies the problem of adaptive fuzzy tracking control for a class pure-feedback switched nonlinear systems with unknown gain. First, studied system is handled by using mean value theorem, initial become affine systems. Then, signal through linear transformation, Nussbaum-type functions are used to design an effective controller processed system. To avoid issue 'explosion complexity' caused theorem and backstepping procedure, first-order sliding-mode differentiator employed...
Abstract In this article, a command filtering‐based adaptive event‐triggered neural network control scheme is proposed for class of uncertain switched nonlinear systems with unknown coefficient and input saturation. First, radial basis function networks are used as approximators to estimate functions. Then, an event‐triggering mechanism based on the tracking error introduced avoid over‐consumption communication resources. Furthermore, filters employed solve problem complexity explosion that...
Purpose This paper aims to study the issues of adaptive fuzzy control for a category switched under-actuated systems with input nonlinearities and external disturbances. Design/methodology/approach A scheme based on sliding mode surface hierarchical structure is introduced enhance responsiveness robustness studied systems. An equivalent switching rules are co-designed in (HSMC) framework ensure that system state reaches given remains surface, finally stabilizing at equilibrium point....
In this paper, for a class of uncertain nonlinear systems, low-computation design scheme fault detection and performance recovery based on deferred replacement actuators is proposed. Different from the existing two mainstream adaptive fault-tolerant control schemes, proposed method does not require prior knowledge models, nor it multiple working in parallel simultaneously to mitigate impact faults. The disadvantage former that most considered models cannot cover all types, while latter adds...
In this paper, a low-computation adaptive self-triggered tracking control scheme is proposed for class of strict-feedback nonlinear systems with input saturation. By introducing two novel error transformation functions, the designed can overcome problem complexity explosion in absence any filters, such that developed more applicable. addition, to save communication resources networked systems, strategy which predict next trigger point based on current information. Compared traditional...
In this paper we present the results of Unconstrained Ear Recognition Challenge (UERC), a group benchmarking effort centered around problem person recognition from ear images captured in uncontrolled conditions. The goal challenge was to assess performance existing techniques on challenging large-scale dataset and identify open problems that need be addressed future. Five groups three continents participated contributed six for evaluation, while multiple baselines were made available by UERC...
Program obfuscation is a popular cryptographic construct with wide range of uses such as IP theft prevention.Although solutions for program impose impractically high overheads, recent breakthrough leveraging trusted hardware has shown promise.However, the existing solution based on special-purpose hardware, restricting its use-cases to limited few.In this paper, we first study if feasible commodity Intel SGX, and observe that certain important security considerations are not afforded by...
Abstract The finite-time tracking control issue for a class of nonlinear pure-feedback system with prescribed performance and unknown hysteresis is investigated in this work. To solve the Bouc-Wen parameters direction conditions, Nussbaum function auxiliary virtual are used. A applied performance, which can make error limited to pre-given boundary finite time. Moreover, mean-value theorem difficulty form. Combined backstepping technique, an adaptive scheme designed sure that all closed-loop...
SUMMARY This article is devoted to designing an adaptive command filtered control scheme for a category of multiple‐input multiple‐output switched nonlinear systems with backlash‐like hysteresis. The “explosion complexity” issue, which comes from the derivatives intermediate controller, eliminated by using filter technique. Meanwhile, error compensation mechanism introduced offset error's impact on system performances and overcome drawback traditional dynamic surface methods. Furthermore,...
Intel SGX is a security solution promising strong and practical guarantees for trusted computing. However, recent reports demonstrated that such of are broken due to access pattern based side-channel attacks, including page fault, cache, branch prediction, speculative execution. In order stop these attackers, Oblivious RAM (ORAM) has gained attention from the community as it provides cryptographically proven protection against side-channels. While several proposed systems have successfully...