Perceptual Control Theory Model of Balancing an Inverted Pendulum. See Kennaway's slides on Robotics. as well as PCT example WIP notes. Compare with IM-1831 from Z209 from Hartmut Bossel's System Zoo 1 p112-118
Balancing an Inverted Pendulum PCT Model
System Zoo Z418 - Sustainable Use of a renewable resource from Hartmut Bossel (2007) System Zoo 2 Simulation Models. Climate, Ecosystems, Resources
Clone of ENV221 - Z418 - Sustainable Use of a renewable resource
Insight Maker model based on the Z415 System Zoo model originally developed in Vensim.
Clone of System Zoo Z415 Resource Extraction and Recycling
System Zoo Z110: Logistic growth with stock-dependent harvest from System Zoo 1 by Hartmut Bossel
Bossel: Z110: Logistic growth with stock-dependent harvest
System Zoo Z412 Tourism Dynamics from Hartmut Bossel (2007) System Zoo 2 Simulation Models. Climate, Ecosystems, Resources
Clone of REM 221 - Z412 Tourism Dynamics
System Zoo Z104: Exponential delay from System Zoo 1 by Hartmut Bossel
Bossel: Z104 Exponential delay
REM 221 - Z301 Regional Water Balance
Fischfangsystem
System Zoo Z409 von Hartmut Bossel (2007): System Zoo 2 Simulationsmodelle. Klima, Ökosysteme und Ressourcen. Norderstedt.
Fischfang ohne Ortungstechnik
System Zoo Z107: Infection dynamics from System Zoo 1 by Hartmut Bossel
Bossel: Z107 Infection dynamics
A simple model revolving around the inventory of a car dealership. It illustrates the feedback mechanism used to maintain an adequate amount of stock (cars) to satisfy customer demand, and includes the perception, delivery and response delays.
A Business Model
System Zoo Z105: Time-dependent growth from System Zoo 1 by Hartmut Bossel
Bossel: Z105 Time-dependent growth
Z206 from Hartmut Bossel System Zoo 1 p99-102 See also a beautiful Youtube 3D Video Simulation
Lorenz Attractor
Z212 from System Zoo 1 p142-148
House Heating Dynamics
System Zoo Z111: Density-dependent growth (Michaelis-Menten) from System Zoo 1 by Hartmut Bossel
Bossel: Z111: Density-dependent growth (Michaelis-Menten)
System Zoo Z108: Overloading a buffer from System Zoo 1 by Hartmut Bossel
Bossel: Z108: Overloading a buffer
Adapted from Hartmut Bossel's "System Zoo 3 Simulation Models, Economy, Society, Development."
Population model where the population is summarized in four age groups (children, parents, older people, old people). Used as a base population model for dealing with issues such as employment, care for the elderly, pensions dynamics, etc.
[WIP] Z602 Population with four age groups, Czech Republic
This models the progressive decline of the ability for self-reliance and the growing dependence on outside help. Z508 p39-42 System Zoo 3 by Hartmut Bossel. Strong outside help causes a collapse of self-help capacity. Weak outside help produces a stable combination of wellbeing and self-help capacity.
Bossel: Z508 Clone of Dependence
System Zoo Z107 exercise 2: Infection dynamics, exercise 2 (a part of the population is immune to infection) from System Zoo 1 by Hartmut Bossel
This is my attempt at the problem, not necessarily correct!
Bossel: Z107-ex2: Infection dynamics with immune subpopulation
System Zoo Z412 Tourism Dynamics from Hartmut Bossel (2007) System Zoo 2 Simulation Models. Climate, Ecosystems, Resources
Bossel: Z412 Tourism Dynamics
Konstanter Zufluss,
lineares Wachstum
Bossel, H., System Zoo 1, Z102A, S. 12
Z102A
System Zoo Z404 Prey and two Predator Populations from Hartmut Bossel (2007) System Zoo 2 Simulation Models. Climate, Ecosystems, Resources
Often a single prey population is the source of food for several competing predators (e.g. mice as prey of foxes and birds of prey). Here again a reliable intuitive assessment of long-term development resulting from the particular system relationship is impossible. A simulation model can assist in recognizing development trends inherent in the system structure even if in reality a variety of other factors determine the development and may cause it to proceed on a somewhat different path.
Bossel: Z404 Prey and two Predator Populations
Z207 from Hartmut Bossel System Zoo 1 p103-107
After running the default settings Bossel describes A=0.2, B=0.2, Initial Values X=0 Y=2 and Z=0 and varying C=2,3,4,5 shows period doubling and transition to chaotic behavior
Clone of Rossler Chaotic Attractor