Control Synthesis for Linear and Nonlinear Dynamical Systems under Bounded Measurement Errors of a State Vector

2016 ◽  
Vol 48 (1) ◽  
pp. 2-14
Author(s):  
Vsevolod M. Kuntsevich
Keyword(s):  
Dynamical Systems ◽  
State Vector ◽  
Measurement Errors ◽  
Nonlinear Dynamical Systems ◽  
Control Synthesis ◽  
Nonlinear Dynamical ◽  
Linear And Nonlinear

Frequency domain conditions for the robust stability of linear and nonlinear dynamical systems

1991 ◽  
Vol 38 (4) ◽  
pp. 389-397 ◽  
Author(s):  
S. Dasgupta ◽  
P.J. Parker ◽  
B.D.O. Anderson ◽  
F.J. Kraus ◽  
M. Mansour
Keyword(s):  
Dynamical Systems ◽  
Frequency Domain ◽  
Robust Stability ◽  
Nonlinear Dynamical Systems ◽  
Nonlinear Dynamical ◽  
Linear And Nonlinear

Putting the process in developmental processes

2000 ◽  
Vol 24 (3) ◽  
pp. 295-300 ◽  
Author(s):  
John R. Nesselroade ◽  
Karen M. Schmidt McCollam
Keyword(s):  
Dynamical Systems ◽  
Systems Thinking ◽  
Nonlinear Dynamical Systems ◽  
Developmental Processes ◽  
Nonlinear Dynamical ◽  
Meta Model ◽  
Mathematical Representations ◽  
Design Considerations ◽  
Systems Models ◽  
Linear And Nonlinear

Several signs point to a strengthening of our capabilities for rigorously modelling developmental processes and other kinds of changes. The indicators of progress range from stronger formulations of “systems thinking” and definitions through measurement and design considerations to advanced mathematical representations, such as linear and nonlinear dynamical systems models. We believe these advances offer major improvements for the treatment of process and related concepts as they have evolved thus far largely within the meta-model of stability and equilibrium that has dominated much of science (Holling, 1973). These issues are summarised and some of the promising innovations that we believe will make the coming decades highly productive ones for the study of development will be discussed.

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