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  2. State-space representation - Wikipedia

    en.wikipedia.org/wiki/State-space_representation

    The state space or phase space is the geometric space in which the axes are the state variables. The system state can be represented as a vector , the state vector . If the dynamical system is linear, time-invariant, and finite-dimensional, then the differential and algebraic equations may be written in matrix form.

  3. State/Space theory - Wikipedia

    en.wikipedia.org/wiki/State/Space_theory

    State/Space theory constitutes a new branch of social and political geography in which the issues of space as a geographic element are considered for their influence on political relationships and outcomes. [1] Leading scholars include Neil Brenner at the Harvard Graduate School of Design, and Bob Jessop at Lancaster University in England ...

  4. State Space Model - Wikipedia

    en.wikipedia.org/?title=State_Space_Model&...

    This page was last edited on 1 December 2014, at 18:50 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may apply.

  5. Subspace identification method - Wikipedia

    en.wikipedia.org/wiki/Subspace_identification_method

    In mathematics, specifically in control theory, subspace identification (SID) aims at identifying linear time invariant (LTI) state space models from input-output data. SID does not require that the user parametrizes the system matrices before solving a parametric optimization problem and, as a consequence, SID methods do not suffer from problems related to local minima that often lead to ...

  6. Lebensraum - Wikipedia

    en.wikipedia.org/wiki/Lebensraum

    In 1897, the geographer and ethnographer Friedrich Ratzel in his book Politische Geographie applied the word Lebensraum ("living space") [2] to describe physical geography as a factor that influences human activities in developing into a society. [12] In 1901, Ratzel extended his thesis in his essay titled "Lebensraum ". [13]

  7. Robust control - Wikipedia

    en.wikipedia.org/wiki/Robust_control

    The early methods of Bode and others were fairly robust; the state-space methods invented in the 1960s and 1970s were sometimes found to lack robustness, [1] prompting research to improve them. This was the start of the theory of robust control, which took shape in the 1980s and 1990s and is still active today.

  8. Distributed parameter system - Wikipedia

    en.wikipedia.org/wiki/Distributed_parameter_system

    In discrete-time the transfer function is given in terms of the state-space parameters by + = and it is holomorphic in a disc centered at the origin. [4] In case 1/ z belongs to the resolvent set of A (which is the case on a possibly smaller disc centered at the origin) the transfer function equals D + C z ( I − z A ) − 1 B {\displaystyle D ...

  9. Coupled map lattice - Wikipedia

    en.wikipedia.org/wiki/Coupled_map_lattice

    A coupled map lattice (CML) is a dynamical system that models the behavior of nonlinear systems (especially partial differential equations).They are predominantly used to qualitatively study the chaotic dynamics of spatially extended systems.