Kategoria BISAC: Science >> System Theory

This monograph presents a novel method of sliding mode control for switch-regulated nonlinear systems. The Delta Sigma modulation approach allows one to implement a continuous control scheme using one or multiple, independent switches, thus effectively merging the available linear and nonlinear controller design techniques with sliding mode control. Sliding Mode Control: The Delta-Sigma Modulation Approach, combines rigorous mathematical derivation of the unique features of Sliding Mode Control and Delta-Sigma modulation with numerous illustrative examples from diverse areas of...

This book focuses on filtering, control and model-reduction problems for two-dimensional (2-D) systems with imperfect information. The time-delayed 2-D systems covered have system parameters subject to uncertain, stochastic and parameter-varying changes.

After an initial introduction of 2-D systems and the ideas of linear repetitive processes, the text is divided into two parts detailing:

- General theory and methods of analysis and optimal synthesis for 2-D systems; and

- Application of the general theory to the particular case of differential/discrete linear repetitive...

Homeokinetics is the study of complex systems--systems such as universes, galaxies, or planetary subsystems, or even social systems. A complex system is one where there is a tremendous amount of internal exchange by the actors. The physics of complex systems is played out on the basis of trying to understand what these complex internal agents are doing.

Normal physics deals with processes at single levels—disciplines such as cosmological physics, stellar physics, and biophysics. It also deals with the relation between systems and their lower levels, but only when the lower...

With this brief, the authors present algorithms for model-free stabilization of unstable dynamic systems. An extremum-seeking algorithm assigns the role of a cost function to the dynamic system's control Lyapunov function (clf) aiming at its minimization. The minimization of the clf drives the clf to zero and achieves asymptotic stabilization. This approach does not rely on, or require knowledge of, the system model. Instead, it employs periodic perturbation signals, along with the clf. The same effect is achieved as by using clf-based feedback laws that profit from modeling knowledge, but...