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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. 1964 California Proposition 14 - Wikipedia

   en.wikipedia.org/wiki/1964_California_Proposition_14

   The California Real Estate Association also supported California Proposition 10 on the November 1950 election ballot (adding Article 34 to the California Constitution and known as the "Public Housing Project Law") which made it significantly more difficult to build low-rent housing projects in California communities. [13]

4. Rosenbrock system matrix - Wikipedia

   en.wikipedia.org/wiki/Rosenbrock_system_matrix

   In applied mathematics, the Rosenbrock system matrix or Rosenbrock's system matrix of a linear time-invariant system is a useful representation bridging state-space representation and transfer function matrix form. It was proposed in 1967 by Howard H. Rosenbrock. [1]

5. Realization (systems) - Wikipedia

   en.wikipedia.org/wiki/Realization_(systems)

   This state-space realization is called controllable canonical form (also known as phase variable canonical form) because the resulting model is guaranteed to be controllable (i.e., because the control enters a chain of integrators, it has the ability to move every state).

6. State space (computer science) - Wikipedia

   en.wikipedia.org/wiki/State_space_(computer_science)

   If the size of the state space is finite, calculating the size of the state space is a combinatorial problem. [4] For example, in the Eight queens puzzle, the state space can be calculated by counting all possible ways to place 8 pieces on an 8x8 chessboard. This is the same as choosing 8 positions without replacement from a set of 64, or

7. Double integrator - Wikipedia

   en.wikipedia.org/wiki/Double_integrator

   In this representation, it is clear that the control input is the second derivative of the output . In the scalar form, the control input is the second derivative of the output q {\displaystyle q} . State space representation