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This volume presents an overview of the techniques of quasilinearization as they are applied to the problem of system identification. The quasilinear technique has inherent advantages in establishing the intricate interrelationships which exist in complex physical systems. Several advanced topics which are central to the quasilinear technique are discussed in this book. Problems on orbit determination, estimation of chemical rate constants, complex biomechanics of systems and analytical medicine are investigated, to demonstrate the power of the quasilinear method. The reader will have a good idea of the wide range and complexity of problems which can be solved.
System Identification
In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation;methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; andmethods for information compression and filtering under condition that a filter model should satisfy restrictions associated with causality and different types of memory.As a result, the book represents a blend of new methods in general computational analysis,and specific, but also generic, techniques for study of systems theory ant its particularbranches, such as optimal filtering and information compression.- Best operator approximation,- Non-Lagrange interpolation,- Generic Karhunen-Loeve transform- Generalised low-rank matrix approximation- Optimal data compression- Optimal nonlinear filtering