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Output-Feedback Tube Model Predictive Control for Asteroid Circumnavigation and Descent

JOURNAL OF GUIDANCE CONTROL AND DYNAMICS 2023年第11期46卷 2235-2244页

作者： Frekhaug, Thomas A. Sanjurjo-Rivo, Manuel Soler, Manuel Carlos III Univ Madrid Madrid 28911 Spain Aerosp Engn Dept Avda Univ 30 Leganes Spain

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Comparative analysis of new meta-heuristic-variants for privacy preservation in wireless mobile adhoc networks for IoT applications

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COMPUTER COMMUNICATIONS 2023年 198卷 262-281页

作者： Satyanarayana, P. Diwakar, G. Subbayamma, B. V. Kumar, N. V. Phani Sai Arun, M. Gopalakrishnan, S. VR Siddhartha Engn Coll Dept ECE Vijayawada Andhra Pradesh India Koneru Lakshmaiah Educ Fdn Dept Mech Engn Vaddeswaram Andhra Pradesh India Prasad V Potluri Siddhartha Inst Technol Dept ECE Vijayawada Andhra Pradesh India SRKR Engn Coll Dept ECE Bhimavaram Andhra Pradesh India Panimalar Engn Coll Dept ECE Chennai Tamil Nadu India Vel Tech Rangarajan Dr Sagunthala R&D Inst Sci & Dept Elect & Commun Engn Chennai Tamil Nadu India

"Mobile Ad Hoc Network (MANET)"is a self-configurable, self-repairing, self-maintaining, highly mobile, decentralized, and independent wireless network, which has the liberty to move from one to another place. Such networks do not have any pre-existing infrastructure. The adoption of a smart environment in MANET requires new protocols to connect the gadgets to the internet. A smart environment with routing protocols should assure the following properties like connectivity among the nodes, "Quality of Service (QoS)", and fairness, both in access points and ad-hoc networks. Combination with the Internet of Things (IoT) and MANET generates a novel MANET-IoT system, which focuses on reducing the implementing costs of the network and providing better mobility for users. The necessity of these integrated networks is increasing in military operations, rescue operations, personal area networks, emergency rooms, and meeting rooms. Routing in MANETs is a not simple job and has projected a huge range of attention from researchers around the world. Thus, the intention of this task is a development of a security protocol in MANET for the IoT platform. For dealing with encryption and decryption strategies to handle MANET and IoT data, a new approach is suggested through the enhanced chaotic map. Here, three improved algorithms are implemented for proposing the optimized key management scheme under a chaotic map, which is the Modified Updating-based Harris Hawks optimization algorithm (MU-HHO), Mean Solution-based Averaging Sailfish Optimizer (MS-ASFO), Adaptive Basic Reproduction Rate-based Coronavirus Herd Immunity Optimizer (ABRR-CHIO). In the convergence evaluation, while taking the length of plain text as 40, ABRR-CHIO shows superior performance over other techniques at the 60th iteration, which is 96%, 95%, 93%, 96%, and 80% superior to HHO, SFO, CHIO, SA-SFO, and CHHSO. Finally, the performance evaluation is performed regarding "statistical analysis, convergence analysis, a

关键词： Mobile ad hoc network Internet of things Privacy preservation Wireless mobile adhoc networks Modified updating-based Harris Hawks optimization algorithm Mean solution-based averaging sailfish optimizer Adaptive basic reproduction rate-based coronavirus herd immunity optimizer Enhanced chaotic map Optimized key management strategy

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Image steganography technique based on bald eagle search optimal pixel selection with chaotic encryption

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ALEXANDRIA ENGINEERING JOURNAL 2023年 75卷 41-54页

作者： Bahaddad, Adel A. Almarhabi, Khalid Ali Abdel-Khalek, Sayed King Abdulaziz Univ Fac Comp & Informat Technol Dept Informat Syst Jeddah 21589 Saudi Arabia Umm Al Qura Univ Coll Comp Al Qunfudah Dept Comp Sci Mecca Saudi Arabia Sohag Univ Fac Sci Dept Math Sohag 82524 Egypt

In the digital era, information security becomes a challenging process that can be miti-gated by the utilization of cryptography and steganography techniques. Earlier studies on steganog-raphy have the risk of exposing confidential data by an anonymous user. For resolving, the limitations related to the existing algorithms, one of the efficient solutions in encryption-based steganography. Encryption techniques act as an important part in protect actual data from illegal access. This study focuses on the design of Bald Eagle Search Optimal Pixel Selection with Chaotic Encryption (BESOPS-CE) based image steganography technique. The presented BESOPS-CE tech-nique effectively hides the secret image in its encrypted version to the cover image. For accomplish-ing this, the BESOPS-CE technique employs a BES for optimal pixel selection (OPS) procedure. Besides, chaotic encryption was executed for encrypting the secret image, which is then embedded to choose pixel points of the cover image. Finally, embedding and extraction processes are carried out. The inclusion of the encryption process aids in accomplishing an added layer of security. A comprehensive simulation study was used to report on the BESOPS-CE approach's increased per-formance, and the results are examined from many angles. A thorough comparative analysis revealed that the BESOPS-CE model outperformed more contemporary methods.& COPY;THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University. This is an open access article under the CC BY-NC-ND license (http://***/ licenses/by-nc-nd/4.0/).

关键词： Image Steganography Encryption Bald Eagle Search optimization algorithm Security Pixel Selection

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Sliding mode control based on multi-node transmission hybrid scheduling for Markovian jump systems with constrained bandwidth

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NONLINEAR ANALYSIS-HYBRID SYSTEMS 2023年 49卷

作者： Chen, Bei Niu, Yugang Shanghai Univ Engn Sci Shanghai Peoples R China East China Univ Sci & Technol Shanghai 200237 Peoples R China

The sliding mode control (SMC) problem is investigated for Markovian jump systems (MJSs) under constrained communication bandwidth. A multi-node hybrid transmission strategy composed of an event-triggered protocol and the weight try-once-discard (WTOD) protocol is introduced into the sensor-to-controller (S/C) channel. Its key feature is that by using two dynamic thresholds, the number of the transmitted components may be dynamically regulated, not just the one with the largest difference as in the conventional WTOD protocol. That may greatly increase the flexibility of transmission under limited bandwidth, meanwhile, it is also beneficial to balance system performance and network burden. Then, a compensating strategy is proposed via the previous transmitted signals, and a scheduling signal-dependent sliding mode controller is designed. By using mode-dependent Lyapunov function, both the stochastic stability and the reachability are analyzed under different transmission cases, respectively. Moreover, an optimization problem on convergent domain is formulated and the binary-encoded genetic algorithm (GA) is utilized to search a desirable sliding gain. Finally, the proposed multi-node hybrid scheduling-based SMC scheme is illustrated via simulation results.& COPY;2023 Elsevier Ltd. All rights reserved.

关键词： Markovian jump systems Multi-node transmission Hybrid scheduling Sliding mode control optimization algorithm

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Enhanced Meta-Heuristic Approach for Echo Suppression in Synthetic Aperture Radar Using Non-Periodic Interrupted Sampling

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TRAITEMENT DU SIGNAL 2025年第2期42卷 1097-1110页

作者： Chukka, Anoosha Battula, Tirumala Krishna Anil Neerukonda Inst Technol & Sci Dept ECE Visakhapatnam 531162 India Jawaharlal Nehru Technol Univ Kakinada Dept ECE Kakinada 533003 India

Echo cancellation is a deception jamming technique designed to nullify the target's echo and prevent its detection by enemy radar. Traditional methods rely on time-domain synchronization, but they struggle to fully suppress echoes when there is an amplitude mismatch. This limitation often leaves the target partially visible in synthetic aperture radar (SAR) images, reducing the effectiveness of the jamming technique. Non-periodic interrupted sampling modulation (NP-ISM) is applied as it produces a continuous jamming strip instead of discrete false targets whereas in Periodic sampling multiple false targets emerge even the real target echo is canceled which makes it easy to be countered by enemy radar. The improved henry gas solubility optimization algorithm (IHGSOA) is applied in the echo cancellation model to optimize the random rectangular envelope pulse train in the NP-ISM which enhances signal cancellation. This significantly reduces the Peak to Average Ratio (PAR), enabling more effective target echo suppression. A polynomial non-linear frequency modulation (PNLFM) is employed to reduce the PAR leading to significant improvement in signal-to-noise ratio (SNR), enabling more effective target echo cancellation. The proposed IHGSOA-based echo cancellation model effectively aligns the cancellation and echo signals through time-delay synchronization, minimizing errors even in the presence of a mismatch. The simulation results show that using the above cancelling system the desired target echo amplitude drops to 50% and 40% of its original target echo, hence the system has a very high cancellation effect. Thus, the effectiveness of the IHGSOA is evaluated by comparing its performance with other conventional algorithms.

关键词： echo cancellation synthetic aperture radar (SAR) non-periodic interrupted sampling modulation improved henry gas solubility optimization algorithm peak to average ratio polynomial non-linear frequency modulation (PNLFM) NLFM

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A Sparsity-Aware Fault Diagnosis Framework Focusing on Accurate Isolation

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IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 2023年第2期19卷 1356-1365页

作者： Xiu, Xianchao Miao, Zhonghua Liu, Wanquan Shanghai Univ Sch Mechatron Engn & Automation Shanghai 200444 Peoples R China Sun Yat Sen Univ Sch Intelligent Syst Engn Guangzhou 510275 Peoples R China

In this article, we propose an efficient fault diagnosis framework to achieve accurate fault isolation. The core is to introduce the l(2,0)-norm sparsity constrained optimization to reduce the variable redundancy and determine the variable number, which is different from the existing sparse variants. In order to illustrate the idea, this article takes principal component analysis (PCA) as an essential step. First, a sparsity-aware PCA is constructed by taking advantage of the l(2,0)-norm constrained optimization. Afterward, a two-stage monitoring strategy is designed, including fault detection and fault isolation. Once the fault is detected, the sparsity level is then shrunk to achieve accurate fault isolation. Moreover, an alternating direction method of multipliers-based optimization algorithm is developed with detailed implementation. Finally, the detection improvement and accurate isolation performance are validated by two simulated examples, the Tennessee Eastman benchmark process, and a practical cylinder-piston process.

关键词： l(2,0)-norm fault diagnosis (FD) optimization algorithm two-stage principal component analysis (TSPCA)

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Sliding Mode Control of FMII Systems: Handling Rice Fading Issues Under 2-D Frame

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IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 2023年第11期53卷 6909-6920页

作者： Lv, Xinyu Niu, Yugang Park, Ju H. East China Univ Sci & Technol Minist Educ Key Lab Smart Mfg Energy Chem Proc Shanghai 200237 Peoples R China Yeungnam Univ Minist Educ Dept Elect Engn Gyongsan 38541 South Korea

The Lth order Rice model can effectively describe imperfect transmission, including amplitude attenuation, time delays, and stochastic disturbance, and is a popular channel fading model in one-dimensional (1-D) systems. However, due to the state evolution feature of two-dimensional (2-D) systems, the previous state signals of 2-D systems are not as directly determinable as those of 1-D systems such that the construction of the conventional and obvious Lth order Rice model become difficulty for 2-D systems. Motivated by these, this work will investigate the sliding mode control (SMC) problem of the 2-D Fornasini-Marchesini (FMII) system under Rice fading channels. First, the previous p-step state signals are defined according to the evolution feature of the FMII model. Afterwards, a new applicable Lth-order Rice fading model for 2-D FMII systems is constructed, which not only has 2-D structural characteristics but also has similar properties to 1-D cases. A 2-D-type sliding function involving the predefined previous L-step state signals and channel attenuation coefficients is designed, which exhibits a similar structural feature to the FMII model. A feasible SMC law is designed via the available fading states to achieve the ultimately uniformly boundedness in the mean square of the closed-loop system and the reachability of the sliding domain around the specified sliding surface. Furthermore, an optimization-solving algorithm is introduced to minimize the convergent bound. Finally, an example is applied to demonstrated the proposed results.

关键词： optimization algorithm previous state signals rice fading model sliding mode control (SMC) two-dimensional (2-D) Fornasini-Marchesini (FMII) system

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An Energy-Aware and Fault-Tolerant WSN Routing Approach Using Serial Exponential Newton Metaheuristic algorithm for Agricultural Lands

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CYBERNETICS AND SYSTEMS 2023年第8期54卷 1494-1517页

作者： Herlin, L. T. Fred, A. Lenin Mar Ephraem Coll Engn & Technol Comp Sci & Engn Marthandam Tamil Nadu India Mar Ephraem Coll Engn & Technol Comp Sci & Engn Marthandam 629171 Tamil Nadu India

Wireless Sensor Network (WSN) is becoming a promising platform, in which Sensor Nodes (SNs) can sense and monitor the physical or environmental conditions and send the data to the Base Station (BS) through multi-hop routing. Here, opting for the right Cluster Head Selection (CHS) is the key to enhancing the clustering routing protocol performance. Here, a new optimization model to prolong the lifetime of the network and progress the energy efficiency in the routing process is anticipated. The Serial Exponential Newton Meta heuristic algorithm (SExpNMA) is developed for CHS and routing. The parameters like energy, Link Lifetime (LLT), and delay, are considered as the fitness function of the proposed SExpNMA to select the optimal solution. Ultimately, the performance analysis clearly reveals that the SExpNMA technique attains the maximum residual energy of 0.515 J, LLT of 0.346, the throughput of 0.617, and minimum delay of 0.236 s, respectively.

关键词： Cluster head selection energy fault tolerance link lifetime optimization algorithm routing WSN

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Run Time Assured Reinforcement Learning for Safe Satellite Docking

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JOURNAL OF AEROSPACE INFORMATION SYSTEMS 2023年第1期20卷 25-36页

作者： Dunlap, Kyle Mote, Mark Delsing, Kaiden Hobbs, Kerianne L. Parallax Adv Res Beavercreek OH 45431 USA Pytheia Corp Atlanta GA 30308 USA Cedarville Univ Cedarville OH 45314 USA US Air Force Res Lab Dayton OH 45431 USA

Reinforcement learning promises high performance in complex tasks as well as low online storage and computation cost. However, the trial-and-error learning approach of reinforcement learning could explore unsafe behavior in the search for an optimal solution. Run time assurance (RTA) approaches can be applied to monitor behavior and ensure safety constraint satisfaction during reinforcement learning. This paper investigates the effect of RTA on reinforcement learning training performance in terms of training efficiency, safety constraint satisfaction, control efficiency, task efficiency, and training duration. For the purposes of demonstration, a custom reinforcement learning environment is created where the objective is to develop a policy that moves a satellite into docking position with another satellite in a two-dimensional relative-motion reference frame. Six different policies are trained. The first features no RTA, the second features no RTA but a higher penalty for safety violations, and four others use different RTA techniques to enforce a dynamic velocity constraint during training. The trained policies are analyzed with standardized test points. It is shown that the policies trained without RTA do not learn to adhere to the constraint, whereas all policies trained with RTA do learn to adhere to the constraint. Although more complex RTA frameworks can be better for operational use, it is found that a simple RTA framework provides the best overall results for reinforcement learning training.

关键词： Reinforcement Learning Satellites Neural Networks Spacecraft Docking optimization algorithm Closed Loop

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Optimal Robust Two-Body Trajectory Design with Corrective Maneuvers

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JOURNAL OF SPACECRAFT AND ROCKETS 2023年第6期60卷 1966-1982页

作者： Kelly, Scott Geller, David Utah State Univ Mech & Aerosp Engn Dept Logan UT 84322 USA

The focus of this research is the optimization of impulsive transfer trajectories in the presence of stochastic effects. A trajectory design method is introduced that accounts for a normally distributed initial state dispersion and minimizes the sum of nominal impulsive & UDelta;V plus 3s trajectory correction maneuver (TCM) magnitude. Four main problems are presented. First, a deterministic optimal trajectory is developed;in the coplanar cases, the optimal solution is Hohmann transfer. For the second problem, an initial state dispersion and a target position dispersion constraint are introduced. It is shown to be possible to modify the nominal two-impulse trajectory to satisfy the dispersion constraint. In the third problem, a TCM is performed at the optimal point along the deterministic optimal trajectory, resulting in a more efficient method to influence the target position dispersion. Problem 4 is the development of a robust trajectory, where the nominal impulsive maneuvers and 3s TCM dV are simultaneously optimized. The result is a different nominal trajectory and TCM that is less expensive than the total cost of problem 3. The optimal TCM is rapidly computed along each nominal trajectory using the numerically propagated state transition matrix history as a step inside the optimization algorithm.

关键词： Spacecraft Design Orbital Maneuvers optimization algorithm Optimal Control Problem Geostationary Transfer Orbit Sun Synchronous Orbit Stochastic Optimal Control Robust optimization Gradient-Based Design optimization State-Transition Equation

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