http://localhost:8080/xmlui/handle/123456789/754 2026-03-27T08:18:59Z 2026-03-27T08:18:59Z Gupta, A Manocha, A K Singh, G http://localhost:8080/xmlui/handle/123456789/801 2023-07-26T10:46:36Z 2020-01-01T00:00:00Z

Title: Comparative analysis of techniques of order reduction for analysis of vehicle model Authors: Gupta, A; Manocha, A K; Singh, G Abstract: It is essential to study the transfer function of the processes in-volved in any vehicle in order to know the behavioral study. As these are largeoperation processes and strenuous. In the light of this there is requirement toreduce the order of the vehicle’s transfer function so that it becomes convenientand easy to analyze various behavioral parameters such as steady state error,settling time, peak overshoot etc. During the process of order reduction of thesevehicle systems, it is desirable that the behavior of both original and reducedorder system remains identical. So these constraints should be kept in mind bythe researcher while designing and developing the model order reduction tech-niques to obtain the best possible approximation of the higher order system.This paper outlines hankel norm approximation, schur decomposition, normal-ized co-prime factor technique, balanced stochastic truncation techniques toreduce the order of a higher order system and then comparative study is un-dertaken for SISO and MIMO system by considering test examples on basis ofperformance parameters of time domain shown by step response behavior andfrequency domain shown by bode plot. The comparative analysis of all thetechniques is done to obtain the best technique out of the four techniques.

2020-01-01T00:00:00Z Gupta, A Manocha, A K http://localhost:8080/xmlui/handle/123456789/800 2023-07-26T10:41:31Z 2020-01-01T00:00:00Z

Title: Performance enhancements of physical systems by reduced- order modelling and simulation Authors: Gupta, A; Manocha, A K Abstract: It is a matter of great concern to simplify the large-scale physical systems for obtaining a better understanding of the behaviour more accurately at a faster rate. The proposed method focuses on the designing of a method of model order reduction of real time physical systems based on the mixed approach. Improved pole clustering is preferred to reduce the denominator and genetic algorithm to reduce the numerator equation. These techniques are implemented in Matlab simulation environment. The proposed order reduction technique is compared with previously designed methods. The performance comparison is done based on the calculated parameters viz. ISE, rise time, percentage overshoot, steady-state error, settling time as well gain margin and phase margin. The research work reveals that the proposed method provides an improved approximation of a large order system as compared to previous techniques with improved accuracy and better transient and steady-state response. Keywords

2020-01-01T00:00:00Z Gupta, N Saxena, J Bhatia, K S http://localhost:8080/xmlui/handle/123456789/799 2023-07-26T10:36:52Z 2020-01-01T00:00:00Z

Title: Optimized metamaterial-loaded fractal antenna using modified hybrid BF-PSO algorithm. Authors: Gupta, N; Saxena, J; Bhatia, K S Abstract: The paper proposes optimization of square split-ring resonator (SRR) metamaterial unit cell using modified hybrid bacterial foraging–particle swarm optimization (BF-PSO). Optimized metamaterial unit cells are loaded into novel designed square fractal antenna for its bandwidth enhancement. The presented research is alienated in three phases: Novel design of microstrip line-fed square fractal antenna with defected ground structure is proposed in the initial phase that provides dual band performance. In second phase, with the aim of bandwidth enhancement, quasi-static model of SRR unit cell is used to optimize its structural parameters so that optimized structure resonates at desired frequency region. Modifications are included in hybrid BF-PSO algorithm as per size constraints of SRR unit cell to be optimized and for improving the convergence behavior of algorithm. The performance of modified hybrid BF-PSO algorithm is assessed against four other evolutionary techniques named as classical BFO, chaos PSO, IWO and ABC. In later phase, optimized SRR unit cells are loaded into initially designed square fractal antenna that results in broadband performance suitable for upper S-band and lower C-band wireless applications. The designed square fractal antenna without and with SRR unit cells is fabricated and tested to verify the experimental results.

2020-01-01T00:00:00Z Sharma, S Bansal, R K Bansal, S http://localhost:8080/xmlui/handle/123456789/798 2023-07-26T10:08:55Z 2020-01-01T00:00:00Z

Title: Multi- level heterogeneity-aware energy-efficientclustering t echnique for wireless sensor Networks Authors: Sharma, S; Bansal, R K; Bansal, S Abstract: Wireless sensor networks (WSNs) are gaining popularity owing to their applications in diverse fields due to availability of low-cost, low-powered miniature components and their enormous capabilities to reach inaccessible fields. In this paper, a multilevel framework for heterogeneous WSNs has been proposed that decides the value of heterogeneity parameters for allotment of number of nodes and initial node energy at each level in a realistic manner. It also provides a common platform for researchers to analyze their protocol. To validate the proposed framework, Heterogeneity-aware Energy-efficient Clustering (HEC) technique is modified to develop multi-level HEC (M-HEC) technique. This technique is evaluated and analyzed at seven different energy levels for different performance metrics. The stability period of the M-HEC technique improves with increasing number of heterogeneity levels in general. An improvement of about 215%, 332%, 444%, 355%, 363%, and 368% was observed with each successive addition of heterogeneity level from level-2 onwards.

2020-01-01T00:00:00Z