Characteristics of local guinea fowl (Numida meleagris) production and breeding systems in northern Côte d'Ivoire's Poro region

Local guinea fowl are the second most abundant poultry resource in the area, behind local chickens, and they are exploited in an uncontrolled system that affects production. Rural poultry farmers in 12 villages in the departments of Korhogo and Sinématiali participated in a descriptive study on their agricultural system. 35 local guinea fowl owners were asked to complete a semi-structured questionnaire. The findings show that in the Poro region, local méléagriculture is practiced solely in a large-scale system. This practice is restricted for men (94 %), supported by family members (68.60 %), and seen as secondary by the respondents (68.57 %). Farmers, planters, and retailers make up most of them (85.71 %). The original breeding nucleus was made up of eggs (80%) and female guinea fowl (14.28 %). Guinea fowls lay the first eggs at an average age of 7 months (54.28 percent), with the early ones around 6 months (20 %). The flocks are tiny (average of 25 guinea fowl) and are made up of mature (55.69%), young (23.11%), and early (11.40%) guinea fowl. All these guinea fowl have pearled feathers and are primarily grey (71.43 %). They live in rudimentary shelters and forage for food on the streets. The main causes of guinea fowl mortality (68.59 %) were rain and humidity, which had an impact on productivity. This region had the highest percentage of livestock items for sale (62.84%). The socio-economic position of the farmer, the farming method, and the utilization of chicken products were used to identify three agricultural sub-systems.

Dynamics of a Guanaco-sheep Competitive System with Unilateral and Bilateral Control

In this paper, based on a guanaco-sheep competitive system, we develop and analyze mathematical models with unilateral and bilateral control for the management of overgrazing. We first analyze the dynamics of the uncontrolled system. Then, we investigate the system with impulsive control by differential equation geometry theory. And we mainly prove the existence and stability of order-1 periodic solution for unilateral control system and order-2 periodic solution for bilateral control system. Comparing the unilateral and bilateral control strategy, we encourage bilateral control rather than unilateral control for the management of sheep species.

Outer invariance entropy for discrete-time linear systems on Lie groups

We introduce discrete-time linear control systems on connected Lie groups and present an upper bound for the outer invariance entropy of admissible pairs (K,Q). If the stable subgroup of the uncontrolled system is closed and K has positive measure for a left invariant Haar measure, the upper bound coincides with the outer invariance entropy.

Modeling and Control of Torsional Vibration in Rotating System Using Dual Loop Controllers

A torsional rotating system is considered for the investigation of passive vibration control using dual loop controllers Proportional-Integral-Derivative (PID) with derivative (D) gain and Proportional – Derivative (PD) with Integral (I) controllers. The controllers are used as low pass filters. Simulation of the models using Matlab-Simulink have been built in this work for torsional vibration control. A comparison between the two controllers with uncontrolled system have been carried out. Results show that the PD – I control is the best method which gives better stability response than the PID – D control.

A stationary impulse-radar system for autonomous deployment in cold and temperate environments

Stationary ice-penetrating radar (sIPR) systems can be used to monitor temporal changes in electromagnetically sensitive properties of glaciers and ice sheets. We describe a system intended for autonomous operation in remote glacial environments, and document its performance during deployments in cold and temperate settings. The design is patterned after an existing impulse radar system, with the addition of a fibre-optic link and timing module to control transmitter pulses, a micro-UPS (uninterruptable power supply) to prevent uncontrolled system shutdown and a customized satellite telemetry scheme. Various implementations of the sIPR were deployed on the Kaskawulsh Glacier near an ice-marginal lake in Yukon, Canada, for 44–77 days in summers 2014, 2015 and 2017. Pronounced perturbations to englacial radiostratigraphy were observed commensurate with lake filling and drainage, and are interpreted as changes in englacial water storage. Another sIPR was deployed in 2015–2016 on ice island PII-A-1-f, which originated from the Petermann Glacier in northwest Greenland. This system operated autonomously for almost a year during which changes in thickness of the ice column were clearly detected.

BAT ALGORITHM IMPLEMENTATION TO OPTIMALLY DESIGN THE STABILIZER POWER SYSTEM ON THE SUPPA GENERATOR

One of the control devices that can be used to strengthen the performance of PLTU Suppa is the installation of Power System Stabilizer. The problem of using Power System Stabilizer (PSS) in generator excitation is how to determine the optimal PSS parameter. To overcome these problems, the authors use a method of intelligent bats to design PSS. Bat's algorithm will work based on the specified destination function, which is an Integral Time Absolute Error (ITAE). In this research, we will see the deviation response of velocity and the rotor angle of the suppa generator in case of interference. The results of the analysis show that the uncontrolled system produces oscillation overshoot speed of -0.02437 pu to 0.006517 pu, conventional PSS about -0.02186 pu to 0.004623 pu and with PSS Bat overshoot of -0.01507 pu up to 0.0006223 pu. A loop for rotor angle response shows good results with reduced oscillation and rapidly leading to steady-state conditions. From the analysis results can be concluded, the performance of suppa generator is increased with the installation of Power System Stabilizer with optimal PSS parameters, with parameters respectively Kpss = 32.2077, T1 = 0.0173, T2 = 0.0401, T3 = 0.9174, T4 = 1.2575.

Stability and Bifurcation Control in a Fractional Predator–Prey Model via Extended Delay Feedback

This paper explores the bifurcation control of a fractional predator–prey system with an active extended delayed feedback controller. Delay-induced bifurcations criteria for such an uncontrolled system are firstly derived by selecting time delay as a bifurcation parameter. Then, an extended delayed feedback controller is cleverly devised to control Hopf bifurcation for the proposed system. It means that the bifurcation dynamics can be efficaciously controlled for a given system with the adjustment of the fractional order, feedback gain and extended feedback delay provided that the remnant parameters are fixed. The obtained results significantly extend the preceding studies concerning bifurcation control of delayed fractional-order systems. To verify the correctness of the established theory, some numerical results are presented.

H∞ control for a semi-active scissors linkage seat suspension with magnetorheological damper

In this article, a robust state-feedback H∞ control for semi-active scissors linkage seat suspension with magnetorheological damper is investigated to reduce low-frequency and high-amplitude vibration, leading to health disorders in drivers or passengers. First, the stiffness and damping characteristics of the semi-active scissors linkage seat suspension are analyzed and a simplified model of the semi-active scissors linkage seat suspension is introduced. Then, the forward and inverse models of magnetorheological damper are described by the neural network method. Furthermore, the robust state-feedback H∞ control is established by considering the system uncertainties. The proposed approach is finally validated by experiment on a test rig under different sinusoidal excitations and load masses. Experimental results show that the human vibration is reduced up to 47.66% compared with the uncontrolled system.

Application of Smart Bats Algorithm for Optimal Design of Power Stabilizer System at Sengkang Power Plant

The problem of using Power System Stabilizer (PSS) in generator excitation is how to determine the optimal PSS parameter. To overcome these problems, the authors use a method of intelligent bats based algorithm to design PSS. Bat Algorithm is an algorithm that works based on bat behavior in search of food source. Correlation with this research is, food sources sought by bats represent as PSS parameters to be optimized. Bat's algorithm will work based on a specified destination function, namely Integral Time Absolute Error (ITAE). In this research will be seen the deviation of velocity and rotor angle of each generator, in case of disturbance in bakaru generator. The analysis results show that the uncontrolled system produces a large overshoot oscillation, and after the addition of PSS oscillation control equipment can be muted. So that the overshoot and settling time of each generator can be reduced and the generator can quickly go to steady state condition