Research ArticleOpen accessIn the abstractAI-Integrated Probabilistic Optimization for Inventory Control Under Stochastic DemandJanardan BeheraThe identification and operationalization of increasingly nonstationary and volatile demand patterns challenge the conduct of inventory management in contemporary supply chains. The classical models, especially EOQ and static policies, rest on the stability of demand assumptions, either deterministically or distributionally, and are hence less apt under real-world uncertainty. In view of these limitations, the present study puts forward an integrated … …Journal of Mathematics and Statistics, Vol. 22, Issue 1 · 6 May 2026 · 2,217 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive and Neural Network Based Control of Pitch of Unmanned Aerial VehiclesMackenzie T. Matthews, Sun YiThe objective is to develop a new control strategy for quadrotor types of Unmanned Aerial Systems (UAVs) that assist in closing the existing research gaps between the undesired uncertainties and current control systems. This research investigates a system modeling and the effectiveness of error elimination through adaptation in the change of the plant/system’s output. The UAV is controlled via Wi-Fi … …Journal of Mechatronics and Robotics, Vol. 3, Issue 1 · 18 Nov 2019 · 6,489 accessesView PDFCite
EditorialOpen accessIn the abstractFocalize the Structure of Myd88 in TLR Signaling Pathway to Modulate Innate Immune Response: New Target for Old DiseasesShuai Xing, Ping ZhouAll diseases have their Achilles’ Heel to target and this is especially true for immunorelated diseases which must be treated by targeting the immune system somewhere and somehow correctly. In the most recent decade, immunologists recognized that the Toll-Like Receptor (TLR) signaling pathway in innate immune system plays a double-edged role in the pathogenesis of many notorious diseases. Although the … …American Journal of Immunology, Vol. 13, Issue 3 · 6 Sep 2017 · 7,862 accessesView PDFCite
Research ArticleOpen accessIn the abstractBuffer Pocketing and Pre-Checking on Buffer UtilizationK. Saravanan, R. M. SureshProblem statement: In this study, the paper proposes the development of Effective Buffer Utilization on Adaptive Router with Buffer Pocketing and Pre-Buffer Checking Technique. Network-on-Chip could be prepared more capable by tricky faster routers. By using improved buffers, superior number of ports and channels, adaptive routing, all of which acquire key of overheads in hardware costs. Approach: This technique will … …Journal of Computer Science, Vol. 8, Issue 6 · 23 Apr 2012 · 6,908 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplication of Adaptive Predictive Control to a Newborn IncubatorMed Aymen Zermani, Elyes Feki, Abdelkader MamiProblem statement: This study presents an application of Indirect Adaptive Generalized Predictive Control (IAGPC) of an incubator for newborn, in order to improve the performance of temperature control. Approach: Analysis of physical phenomena of incubator was involved together knowledge of the dynamic behavior. Incubator was identified by means of Recursive Least Square (RLS) technique associated with a projection of the … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 2 · 13 Jul 2011 · 8,242 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive Fuzzy Knowledge Based Controller for Autonomous Robot Motion ControlMbaitiga ZacharieProblem statement: Research into robot motion control offers research opportunities that will change scientists and engineers for year to come. Autonomous robots are increasingly evident in many aspects of industry and everyday life and a robust robot motion control can be used for homeland security and many consumer applications. This study discussed the adaptive fuzzy knowledge based controller for robot … …Journal of Computer Science, Vol. 6, Issue 10 · 30 Jul 2010 · 6,909 accessesView PDFCite
Research ArticleOpen accessIn the abstractUsing an Adaptative Fuzzy-Logic System to Optimize the Performances and the Reduction of Chattering Phenomenon in the Control of Induction MotorM. M. Krishan, L. Barazane, A. KhwaldehProblem statement: Neural networks and fuzzy inference systems are becoming well-recognized tools of designing an identifier/controller capable of perceiving the operating environment and imitating a human operator with high performance. Also, by combining these two features, more versatile and robust models, called “neuro-fuzzy” architectures have been developed. The mo Approach: Motivation behind the use of neuro-fuzzy approaches was based on … …American Journal of Applied Sciences, Vol. 7, Issue 1 · 31 Jan 2010 · 7,523 accessesView PDFCite
Research ArticleOpen accessIn the abstractOn the Stability of a Certain Class of Linear Time-Varying SystemsM. De la SenThis study firstly considers the exponential stability of unforced linear systems of slowly time-varying dynamics. Possible switchings of the system structure to unstable dynamics during certain finite time intervals are admitted. The maintenance of global exponential stability does not necessarily require at most a finite number of switchings in the dynamics while infinitely many switches can also lead to stability. … …American Journal of Applied Sciences, Vol. 2, Issue 8 · 31 Aug 2005 · 6,935 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordFast and Robust Maximum Power Point Tracking for Solar Photovoltaic SystemsHuiying Zheng, Shuhui LiSolar Photovoltaic (PV) energy is becoming an increasingly important part of the world's renewable energy. In order to develop technology for efficient energy conversion from a solar PV system, this paper studies typical Maximum Power Point Tracking (MPPT) control techniques used in solar PV industry and then proposes a close-loop and adaptive MPPT method for reliable and rapid extraction of … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 4 · 17 Jan 2016 · 7,779 accessesView PDFCite