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What is Differential Flatness Theory

Encyclopedia of Information Science and Technology, Fourth Edition
A primary research direction in the area of nonlinear dynamical systems control. It considers that instead of describing the system’s dynamics through its entire state vector, one can use for this purpose specific algebraic variables which are called flat outputs and which are dependent only on certain elements of the state vector. Differential flatness theory enables to succeed global linearization for complicated nonlinear dynamics and in this manner to solve the associated control and state estimation problems.
Published in Chapter:
Distributed Parameter Systems Control and Its Applications to Financial Engineering
Gerasimos Rigatos (Unit of Industrial Automation, Industrial Systems Institute, Greece) and Pierluigi Siano (University of Salerno, Italy)
Copyright: © 2018 |Pages: 21
DOI: 10.4018/978-1-5225-2255-3.ch002
Abstract
The chapter analyzes differential flatness theory for the control of single asset and multi-asset option price dynamics, described by PDE models. Through these control methods, stabilization of distributed parameter (PDE modelled) financial systems is achieved and convergence to specific financial performance indexes is made possible. The main financial model used in the chapter is the Black-Scholes PDE. By applying semi-discretization and a finite differences scheme the single-asset (equivalently multi-asset) Black-Scholes PDE is transformed into a state-space model consisting of ordinary nonlinear differential equations. For this set of differential equations it is shown that differential flatness properties hold. This enables to solve the associated control problem and to stabilize the options' dynamics. By showing the feasibility of control of the single-asset (equivalently multi-asset) Black-Scholes PDE it is proven that through selected purchases and sales during the trading procedure, the price of options can be made to converge and stabilize at specific reference values.
Full Text Chapter Download: US $37.50 Add to Cart
More Results
Structural Condition Monitoring with the Use of the Derivative-Free Nonlinear Kalman Filter
A mainstream area in nonlinear control systems theory, which analyzes dynamical systems after considering that all state variables and control inputs of the associated dynamical model can be expressed as functions of one single algebraic variable, the so-called “flat output” and also as functions of the flat-output’s derivatives. Differential flatness theory can cope efficiently with the control and state estimation of complicated nonlinear dynamical systems of the lumped parameter and distributed parameter type.
Full Text Chapter Download: US $37.50 Add to Cart
Distributed Parameter Systems Control and Its Applications to Financial Engineering
A primary research direction in the area of nonlinear dynamical systems control. It considers that instead of describing the system’s dynamics through its entire state vector, one can use for this purpose specific algebraic variables which are called flat outputs and which are dependent only on certain elements of the state vector. Differential flatness theory enables to succeed global linearization for complicated nonlinear dynamics and in this manner to solve the associated control and state estimation problems.
Full Text Chapter Download: US $37.50 Add to Cart
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