Economic Control of Quality of Manufactured Product.

Thermophysical Properties Research Literature Retrieval Guide Edited by Y. S. Touloukian, J. K. Gerritsen and N. Y. Moore Second edition, revised and expanded. Book 1: Pp. xxi + 819. Book 2: Pp.621. Book 3: Pp. ix + 1315. (New York: Plenum Press, 1967.) n.p.

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Heat and Mass Transfer

Biped robots form a subclass of legged or walking robots. The study of mechanical legged motion has been motivated by its potential use as a means of locomotion in rough terrain, as well as its potential benefits to prothesis development and testing. The paper concentrates on issues related to the automatic control of biped robots. More precisely, its primary goal is to contribute a means to prove asymptotically-stable walking in planar, underactuated biped robot models. Since normal walking can be viewed as a periodic solution of the robot model, the method of Poincare sections is the natural means to study asymptotic stability of a walking cycle. However, due to the complexity of the associated dynamic models, this approach has had limited success. The principal contribution of the present work is to show that the control strategy can be designed in a way that greatly simplifies the application of the method of Poincare to a class of biped models, and, in fact, to reduce the stability assessment problem to the calculation of a continuous map from a subinterval of R to itself. The mapping in question is directly computable from a simulation model. The stability analysis is based on a careful formulation of the robot model as a system with impulse effects and the extension of the method of Poincare sections to this class of models.

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Asymptotically stable walking for biped robots: analysis via systems with impulse effects

http://www.esi2.us.es/~rubio/AUT_10_HIQR.pdf

An integral predictive/nonlinear H∞ control structure for a quadrotor helicopter

The demand for electricity is increasing day by day, which cannot be fulfilled by non-renewable energy sources alone. Renewable energy sources such as solar and wind are omnipresent and environmental friendly. The renewable emulnergy sources are emerging options to fulfill the energy demand, but unreliable due to the stochastic nature of their occurrence. Hybrid renewable energy system (HRES) combines two or more renewable energy sources like wind turbine and solar system. The objective of this paper is to present a comprehensive review of various aspects of HRES. This paper discusses prefeasibility analysis, optimum sizing, modeling, control aspects and reliability issues. The application of evolutionary technique and game theory in hybrid renewable energy is also presented in this paper.

Solar–wind hybrid renewable energy system: A review

Presents a nonlinear dynamic model for a four rotors helicopter in a form suited for control design. We show that the input-output decoupling problem is not solvable for this model by means of a static state feedback control law. Then, a dynamic feedback controller is developed which renders the closed-loop system linear, controllable and noninteractive after a change of coordinates in the state-space. Finally, the stability and the robustness of the proposed control law in the presence of wind, turbulences and parametric uncertainties is analyzed through a simulated case study.

Exact linearization and noninteracting control of a 4 rotors helicopter via dynamic feedback

Optimization of Hybrid Renewable Energy Systems (HRES) Using PSO for Cost Reduction

Increasing interest is being paid to the use of unmanned aerial vehicles (UAVs) in environment exploration applications. These kinds of systems are non-linear, non-holonomic and measurement of all pertinent signals is not possible either due to cost or lack of availabile technology. The performance and characteristics of a Luenberger observer, combined with a classical polynomial controller (based on an accurate model of the plant) and applied to a quadrotor UAV, are analyzed in this paper. The observer used to overcome to sensor availability is shown to be efficient when dealing with bounded uncertainties and disturbances. The analysis is based on tracking errors during transients and at the steady state, and on performance and robustness with respect to plant uncertainties. Estimation of wind parameters is added to reinforce the robustness. Simulation results are provided and output trajectories are analyzed.

Feedback linearization and linear observer for a quadrotor unmanned aerial vehicle

Second order sliding mode-based MPPT control for photovoltaic applications

The main objective of this paper deals with appropriate modelling (of a vehicle and the tyre-road contact) for online estimation of contact forces. This model will be helpful for trajectory monitoring, for steering control and also for diagnosis to avoid accidents or detection of oversteering or understeering situations. A robust observer is developed for adaptive estimation of the contact forces.

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Nacer K. M'Sirdi

Papers

Exact linearization and noninteracting control of a 4 rotors helicopter via dynamic feedback

Optimization of Hybrid Renewable Energy Systems (HRES) Using PSO for Cost Reduction

Feedback linearization and linear observer for a quadrotor unmanned aerial vehicle

Second order sliding mode-based MPPT control for photovoltaic applications

Vehicle-road interaction modelling for estimation of contact forces