Event-triggered control for LPV modeling of DC-DC boost converter

This study presents the event-triggered control (ETC) for linear parameter varying (LPV) model of boost converters. We examine the nonlinear dynamics of boost converters in the LPV framework. The proposed controller is duty-ratio-dependent and provides better performance while requiring less computation. Using the parameter-dependent Lyapunov function (PDLF), we demonstrate the stablity analysis of the proposed approach. Furthermore, we demonstrate that the inter-event time is lower bound by a positive constant, which indicates Zeno behavior free performance. In comparison to earlier time-invariant synthesis techniques, the LPV formulation offers for increased robustness and performance properties. Simulation and experimental results validate the effectiveness of the proposed method

FEATURE RECOGNITION AND STRENGTH ESTIMATION OF CHAIN LINKS USING 3D INSPECTION DATA FOR MOORING INTEGRITY ASSESSMENT

Ph.DDOCTOR OF PHILOSOPHY (FOE

Discrete‐time sector based hands‐off control for nonlinear system

International audienceThis article presents a hands‐off control design for discrete‐time nonlinear system with a special type of nonlinear sector termed as “discrete‐time urn:x-wiley:rnc:media:rnc4888:rnc4888-math-0004 sector.” The design method to define the boundary of a discrete‐time urn:x-wiley:rnc:media:rnc4888:rnc4888-math-0005 sector is done with control‐Lyapunov function. The generalization of nonlinear system is viewed in the perspective of a comparison function. By means of a proposed sector, a switching control is designed such that no control action is experienced inside the sector thus, saving unnecessary control efforts. However, to study the robustness for discrete‐time system, a hands‐off control is modified to ensure the monotonic decrease in the energy of the system. Finally, the proposed approach is verified with the simulation results

Effect of Fertility Levels and Bio-fertilizers Application on Yield, Yield Attributes, and Economics of Chickpea (Cicer arietinum L.)

The experiment was conducted during Rabi season of 2017–18 at the Students' Instructional Farm of Chandra Shekhar Azad University of Agriculture and Technology, Kanpur, Uttar Pradesh to evaluate the effect of different fertility levels and bio-fertilizers application on yield, yield attributes, and quality of late sown chickpea (Cicer arietinum L.). The experiment comprised of 12 treatment combinations in split plot design which comprised 4 treatments [F1 (control), F2 (RDF 100%), F3 (75% RDF), F4 (50% RDF)] in main plot and 3 treatments [B1 (Rhizobium + PSB), B2 (Rhizobium + PGPR) and B3 (Rhizobium + PSB + PGPR)] in sub plots with three replications. Results showed that among the different fertility levels, application of 100% RDF significantly enhanced yield and yield attributes over other treatment. Among the different bio-fertilizers treatments application of Rhizobium + PSB + PGPR had significantly improved yield attributes and seed yield as compared to Rhizobium + PGPR. The combined application of 100% RDF with Rhizobium + PSB + PGPR resulted in significantly higher seed yield of late sown chickpea during winter (Rabi). Higher values of economics viz., gross return, net return and B:C ratio in chickpea were observed with the application of 100% RDF + (Rhizobium + PSB + PGPR) treatments except cost of cultivation

Quantized‐feedback hands‐off control for nonlinear systems

Abstract This paper addresses a quantized feedback hands‐off control for a class of nonlinear systems. Here, [K,KL] sector is constructed with the suitable choice of control‐Lyapunov function. With adjustment policy of quantization parameters, the quantized feedback hands‐off control can force the states of the nonlinear feedback system to the interior of a continuous‐time [K,KL] sector infinite time and the Lyapunov‐candidate function decreases automatically inside the designed sector. Finally, the effectiveness of the proposed method is illustrated by numerical examples

Delayed output feedback based leader–follower and leaderless consensus control of uncertain multiagent systems

Abstract This paper proposes a distributed artificially delayed output feedback‐based leader–follower and leaderless consensus control for the uncertain general linear multiagent systems (MASs) with an arbitrary relative degree. Based on the measured relative output and their delayed information with respect to neighbours, two distributed controllers are designed, which relaxes the requirement of all relative states information of agents. Through the Lyapunov–Krasovskii functional, linear matrix inequalities (LMIs) are formulated, and these LMIs are feasible for arbitrary small delays selected by the user. Delay‐dependent sufficient conditions are provided to guarantee the asymptotic convergence of nominal error systems and ultimately uniform boundedness in the case of a perturbed error system, using the input to state stability (ISS) theory. Finally, the efficacy of the proposed method is illustrated through numerical examples

Effect of Integrated Nutrient Management (INM) on Growth Parameters and Yield of Wheat (Triticum aestivum L.)

An experiment was conducted during spring season of 2021-22 at Agronomy Research Farm, Dolphin PG college of Science and Agriculture Chunni Kalan, Fatehgarh Sahib Punjab, India. The experiment consists of fourteen treatments were laid out in Randomized Block Design (RBD) with three replication. The obtained results revealed that the growth parameters were significantly influenced by different integrated nutrient management at successive growth stages of wheat crop except 30 days. The growth rate of the experimented plants were increased progressively with increase in duration of wheat crop. Growth rate was maximized up to 90 days and followed by a slightly increase in growth was obtained up to harvest. Among the treatment evaluated, 100% RDF +25% N through (vermicompost) + ZnSO4 @ 25 kg ha-1 proved to found better with respect to plant height ( 92.25 cm), dry matter accumulation (274.65 g m-2) and number tillers m-2 (92.43 m-2) at harvest stage in respective years. Leaf area index was measured tended to maximum at 60 days. The minimum growth parameters were observed under control. Maximum grain yield (55.32 q ha-1), straw yield (81.14 q ha-1), biological yield (136.46 q ha-1) and harvest index (40.53 %) was associated with the plot fertilized with 100% RDF +25% N through (vermicompost)+ ZnSO4 @ 25 kg ha-

Effect of Irrigation Frequencies and Foliar Application of Zinc and Boron on Growth and Yield of Yellow Sarson (Brassica rapa)

A field experiment was carried out during the winter (Rabi) season of 2021-22 on sandy loam soil at C.S. Azad University of Agriculture & Technology, Kanpur (U.P.) to study the Growth, yield of Yellow Sarson (Brassica rapa) influenced by different irrigation frequencies and foliar application of micronutrients (Zinc and Boron). Three irrigation (main plot) and four micronutrients level (sub plot) treatments were tested with "Split Plot Design" to know the influence of irrigation frequencies and micronutrients level on Yellow Sarson. To assess the effect of irrigation frequencies on yellow sarson, the treatment included IR1(one irrigation at 30 DAS), IR2(two irrigations at 30 and 55 DAS) and IR3 (three irrigations at 30 DAS, 55 DAS and 90 DAS) and to assess the effect of micronutrients level, the treatments were F0 (control), F1(0.5% zinc at 30-35 and 40-45 DAS) and F2(0.2% boron at 30-35 and 40-45 DAS) and F3(0.5% zinc+0.2% boron at 30-35 and 40-45 DAS). Treatment IR3 was found to be significantly superior to IR2 and IR1 treatments. The maximum seed yield was with the three irrigation frequencies IR3 (30+55+90 DAS) which were higher by 10.56 and 37.23 per cent than IR2 and IR1 treatments respectively. Regarding micronutrients the maximum seed yield was obtained in F3 treatment which was higher by 8.21, 14.42 and 21.78 percent than F2, F1 and F0 treatments in a relative manner. The maximum seed yield was obtained with IR3 X F3 interaction which was higher by 21.70, 13.20 and 7.92 per cent than then IR3F0, IR3F1, and IR3F2 treatment combination.&nbsp

Effect of Fertility Levels and Biofertilizers on Growth Parameters, Root Architecture and Quality of Chickpea (Cicer arietinum L.)

The present field experiment was conducted during Rabi season of 2017–18 at the Student's Instructional Farm of Chandra Shekhar Azad University of Agriculture and Technology, Kanpur, Uttar Pradesh to evaluate the effect of different fertility levels and biofertilizers on growth parameters, root architecture and quality of late sown chickpea (Cicer arietinum L.). The experiment comprised of 12 treatment combinations in split plot design which comprised 4 treatments [F1 (control), F2 (RDF 100%), F3 (75% RDF), F4 (50% RDF)] in main plot and 3 treatments [B1 (Rhizobium + PSB), B2 (Rhizobium + PGPR) and B3 (Rhizobium + PSB + PGPR)] in sub plots with three replications. Results showed that among the different fertility levels, application of 100% RDF significantly enhanced growth parameters, root architecture and protein yield over the control. Among the different biofertilizers treatments application of Rhizobium + PSB + PGPR had significantly improved growth parameters, root architecture and protein yield as compared to Rhizobium + PGPR. The combined application of 100% RDF with Rhizobium + PSB + PGPR resulted in significantly higher growth parameters, root architecture and protein yield of late sown chickpea during winter (Rabi)

Interaction Effect of Phosphorous and Zinc on Yield Attributes, Yield and Quality Characteristics of Chickpea under the Central Plain Zone of Uttar Pradesh

The present field experiments were conducted on studies effect of phosphorus and zinc on yield and quality parameters of chickpeas taken up at Student's Instructional Farm, at Chandra Shekhar Azad University of Agriculture and Technology, Kanpur, (U.P.) India, during the rabi season 2021-22. The experiment consists of 16 treatment combinations in a factorial randomized block design with three replications consisting of a different combination of phosphorus and zinc. Chickpea variety RVG-203 was grown with the recommended agronomic practices. On the basis of results emanating from the investigation, it can be concluded that among the yield components and productivity parameters maximum values in relation to the number of pods plant-1 (61.26), number of grains pod-1 (1.73), 100 grain wt. (20.20 gm), grain yield (18.85 q ha-1), straw yield (23.35 q ha-1), biological yield (42.20 q ha-1), harvest index (44.67 %) and protein content in grain (20.93%) were found in the treatment T15 [P90Zn6]. Corresponding minimum values in relation to number of pods plant-1 (45.00), number of grains pod-1 (1.20), 100 grain wt. (16.96 gm), grain yield (12.25 q ha-1), straw yield (17.16 q ha-1), biological yield (29.41 q ha-1), harvest index (41.65%) and protein content in grain (19.56%) were associated with the treatment T1 [P0Zn0]