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Fundamental Chemistry with Matlab (Paperback): Daniele Mazza, Enrico Canuto Fundamental Chemistry with Matlab (Paperback)
Daniele Mazza, Enrico Canuto
R3,902 Discovery Miles 39 020 Ships in 12 - 17 working days

Fundamental Chemistry with MATLAB highlights how MATLAB can be used to explore the fundamentals and applications of key topics in chemistry. After an introduction to MATLAB, the book provides examples of its application in both fundamental and developing areas of chemistry, from atomic orbitals, chemical kinetics and gaseous reactions, to clean coal combustion and ocean equilibria, amongst others. Complimentary scripts and datasets are provided to support experimentation and learning, with scripts outlined. Drawing on the experience of expert authors, this book is a practical guide for anyone in chemistry who is interested harnessing scripts, models and algorithms of the MATLAB.

Spacecraft Dynamics and Control - The Embedded Model Control Approach (Paperback): Enrico Canuto, Carlo Novara, Donato... Spacecraft Dynamics and Control - The Embedded Model Control Approach (Paperback)
Enrico Canuto, Carlo Novara, Donato Carlucci, Carlos Perez Montenegro, Luca Massotti
R3,477 R3,090 Discovery Miles 30 900 Save R387 (11%) Ships in 12 - 17 working days

Spacecraft Dynamics and Control: The Embedded Model Control Approach provides a uniform and systematic way of approaching space engineering control problems from the standpoint of model-based control, using state-space equations as the key paradigm for simulation, design and implementation. The book introduces the Embedded Model Control methodology for the design and implementation of attitude and orbit control systems. The logic architecture is organized around the embedded model of the spacecraft and its surrounding environment. The model is compelled to include disturbance dynamics as a repository of the uncertainty that the control law must reject to meet attitude and orbit requirements within the uncertainty class. The source of the real-time uncertainty estimation/prediction is the model error signal, as it encodes the residual discrepancies between spacecraft measurements and model output. The embedded model and the uncertainty estimation feedback (noise estimator in the book) constitute the state predictor feeding the control law. Asymptotic pole placement (exploiting the asymptotes of closed-loop transfer functions) is the way to design and tune feedback loops around the embedded model (state predictor, control law, reference generator). The design versus the uncertainty class is driven by analytic stability and performance inequalities. The method is applied to several attitude and orbit control problems.

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