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Model Predictive Control Toolbox Functions

Alphabetical List By Category

Plant Specification

`setmpcsignals`	Set signal types in MPC plant model
`getname`	Retrieve I/O signal names in MPC prediction model
`setname`	Set I/O signal names in MPC prediction model

MPC Design

Controller Creation

`mpc`	Create MPC controller
`mpcprops`	Provide help on MPC controller properties
`gpc2mpc`	Generate MPC controller using generalized predictive controller (GPC) settings

Refinement

`get`	MPC property values
`getname`	Retrieve I/O signal names in MPC prediction model
`set`	Set or modify MPC object properties
`setname`	Set I/O signal names in MPC prediction model
`getconstraint`	Set custom constraints on linear combinations of plant inputs and outputs
`setconstraint`	Set custom constraints on linear combinations of plant inputs and outputs
`setterminal`	Terminal weights and constraints
`getEstimator`	Obtain Kalman gains and model for estimator design
`setEstimator`	Modify a model predictive controller’s state estimator
`getindist`	Retrieve unmeasured input disturbance model
`getoutdist`	Retrieve unmeasured output disturbance model
`setindist`	Modify unmeasured input disturbance model
`setoutdist`	Modify unmeasured output disturbance model

Analysis

`review`	Examine MPC controller for design errors and stability problems at run time
`compare`	Compare two MPC objects
`cloffset`	从输出对于计算MPC闭环直流增益bances to measured outputs assuming constraints are inactive at steady state
`sensitivity`	Compute effect of controller tuning weights on performance
`size`	Size and order of MPC Controller
`trim`	Compute steady-state value of MPC controller state for given inputs and outputs
`d2d`	Change MPC controller sample
`ss`	Convert unconstrained MPC controller to state-space linear system
`tf`	Convert unconstrained MPC controller to linear transfer function
`zpk`	Convert unconstrained MPC controller to zero/pole/gain form

Simulation

`mpcmove`	Optimal control action
`mpcmoveopt`	Options set for mpcmove and mpcmoveAdaptive
`mpcstate`	Define MPC controller state
`sim`	Simulate closed-loop/open-loop response to arbitrary reference and disturbance signals for implicit or explicit MPC
`mpcsimopt`	MPC simulation options
`plot`	Plot responses generated by MPC simulations

Adaptive MPC Design

`mpcmoveAdaptive`	Compute optimal control with prediction model updating
`mpcmoveopt`	Options set for mpcmove and mpcmoveAdaptive
`mpcstate`	Define MPC controller state

Explicit MPC Design

`generateExplicitMPC`	Convert implicit MPC controller to explicit MPC controller
`generateExplicitRange`	Bounds on explicit MPC control law parameters
`generateExplicitOptions`	Optimization options for explicit MPC generation
`simplify`	Reduce explicit MPC controller complexity and memory requirements
`plotSection`	Visualize explicit MPC control law as 2-D sectional plot
`generatePlotParameters`	Parameters for plotSection
`mpcmoveExplicit`	Compute optimal control using explicit MPC
`mpcmoveopt`	Options set for mpcmove and mpcmoveAdaptive
`mpcstate`	Define MPC controller state
`sim`	Simulate closed-loop/open-loop response to arbitrary reference and disturbance signals for implicit or explicit MPC
`mpcsimopt`	MPC simulation options

Gain-Scheduled MPC Design

`mpcmoveMultiple`	如果计算增益调度MPC控制动作ngle time instant
`mpcmoveopt`	Options set for mpcmove and mpcmoveAdaptive
`mpcstate`	Define MPC controller state

Economic MPC Design

`mpc`	Create MPC controller
`mpcmove`	Optimal control action
`mpcmoveAdaptive`	Compute optimal control with prediction model updating
`mpcmoveMultiple`	如果计算增益调度MPC控制动作ngle time instant
`mpcmoveopt`	Options set for mpcmove and mpcmoveAdaptive
`sim`	Simulate closed-loop/open-loop response to arbitrary reference and disturbance signals for implicit or explicit MPC
`mpcsimopt`	MPC simulation options

Code Generation

`review`	Examine MPC controller for design errors and stability problems at run time
`mpcmoveCodeGeneration`	Compute optimal control moves with code generation support
`getCodeGenerationData`	Create data structures for mpcmoveCodeGeneration
`mpcqpsolver`	Solve a quadratic programming problem using the KWIK algorithm
`mpcqpsolverOptions`	Create default option set for mpcqpsolver

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