1 option
Optimal control and forecasting of complex dynamical systems / Ilya Grigorenko.
- Format:
- Book
- Author/Creator:
- Grigorenko, Ilya.
- Language:
- English
- Subjects (All):
- Chaotic behavior in systems.
- Control theory.
- Differentiable dynamical systems.
- Mathematical optimization.
- Physical Description:
- 1 online resource (213 p.)
- Place of Publication:
- Hackensack, NJ : World Scientific, c2006.
- Language Note:
- English
- Summary:
- This important book reviews applications of optimization and optimal control theory to modern problems in physics, nano-science and finance. The theory presented here can be efficiently applied to various problems, such as the determination of the optimal shape of a laser pulse to induce certain excitations in quantum systems, the optimal design of nanostructured materials and devices, or the control of chaotic systems and minimization of the forecast error for a given forecasting model (for example, artificial neural networks). Starting from a brief review of the history of variational calcul
- Contents:
- Preface; Contents; Chapter 1. Analytical methods in control and optimization; 1.1 Calculus of variations; 1.1.1 The beginning: Fermat's variational principle; 1.1.2 The ""beautiful"" Brachistochrone Problem; 1.1.3 Euler-Lagrange equation; 1.1.4 A word about distance between two functions; 1.1.5 The Brachistochrone problem revisited; 1.1.6 Generalizations of the Euler-Lagrange equation; 1.1.7 Transversality conditions; 1.1.8 Conditional extremum: Lagrange multipliers method; 1.1.9 Mixed Optimal problem; 1.1.10 Approximate methods of solution-Ritz's method; 1.2 Optimal control theory
- 1.2.1 Sensitivity analysis1.2.2 Null controllability; 1.2.3 Problems with constrained control; 1.3 Summary; Chapter 2. Numerical optimization; 2.1 The halting problem and No Free Lunch Theorem; 2.2 Global Optimization: searching for the deepest hole on a golf field in the darkness using a cheap laser pointer; 2.2.1 Sensitivity to numerical errors; 2.3 Multiobjective optimization; 2.3.1 Pareto front; 2.3.2 The weighted-sum method; 2.4 Simplex method; 2.5 Simulated annealing: ""crystallizing"" solutions; 2.6 Introduction to genetic algorithms
- 2.7 GA for a class of smooth (differentiable) functions2.8 Application of the GA to the eigenproblem; 2.8.1 The ground state problem in one and two dimensions; 2.8.2 Extension of the QGA to quantum statistical problems; 2.8.3 Formation of a ""Wigner molecule"" and its ""melting""; 2.9 Evolutionary gradient search and Lamarckianism; 2.10 Summary; Chapter 3. Chaos in complex systems; 3.1 Lorenz attractor; 3.2 Control of chaotic dynamics of the fractional Lorenz system; 3.3 Summary; Chapter 4. Optimal control of quantum systems; 4.1 Density matrix formalism
- 4.2 Liouville equation for the reduced density matrix4.3 Modern variational approach to optimal control of quantum systems; 4.3.1 An alternative analytical theory; 4.4 An approximate analytical solution for the case of a two level system; 4.5 Optimal control of a time averaged occupation of the excited level in a two-level system; 4.5.1 Analytical solution for optimal control field; 4.5.2 Optimal control at a given time; 4.5.3 Estimation of the absolute bound for the control due to decoherence; 4.6 Optimal control of nanostructures: double quantum dot
- 4.6.1 The optimal field for the control of the photon assisted tunnelling between quantum dots4.7 Analytical theory for control of multi-photon transitions; 4.8 Summary; Chapter 5. Optimal control and quantum computing; 5.1 Robust two-qubit quantum registers; 5.2 Optimal design of universal two-qubit gates; 5.3 Entanglement of a pair of qubits; 5.4 Summary; Chapter 6. Forecasting of complex dynamical systems; 6.1 Forecasting of financial markets; 6.2 Autoregressive models; 6.3 Chaos theory embedding dimensions; 6.4 Modelling of economic ""agents"" and El Farol bar problem
- 6.5 Forecasting of the solar activity
- Notes:
- Description based upon print version of record.
- Includes bibliographical references (p. 183-196) and index.
- ISBN:
- 9786611919368
- 9781281919366
- 1281919365
- 9789812774248
- 9812774246
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.