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Discrete-Time Neural Observers: Analysis and Applications presents recent advances in the theory of neural state estimation for discrete-time unknown nonlinear systems with multiple inputs and outputs. The book includes rigorous mathematical analyses, based on the Lyapunov approach, that guarantee their properties. In addition, for each chapter, simulation results are included to verify the successful performance of the corresponding proposed schemes. In order to complete the treatment of these schemes, the authors also present simulation and experimental results related to their application in meaningful areas, such as electric three phase induction motors and anaerobic process, which show ...
In the era of COVID-19, many people have suffered high levels of stress and mental health problems. To cope with the widespread of suffering (physical, psychological, social, and economical) the positive psychology of personal happiness is no longer the sole approach to examine personal wellbeing. Other approaches such as Viktor Frankl’s theory of self-transcendence provide a promising framework for research and intervention on how to achieve resilience, wellbeing, and happiness through overcoming suffering and self-transcendence. The existential positive psychology of suffering complements the positive psychology of happiness, which is championed by Martin Seligman, as two equal halves of...