From model-based control to data-driven control: Survey, classification and perspective
Citations
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Cites background from "From model-based control to data-dr..."
...The system can be expressed by three representative dynamic linearization data models, with uniformly bounded PPD [17], [19]....
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...Model-free adaptive control (MFAC) was proposed by Hou [18], in which a dynamic linearization data model with pseudopartial derivative (PPD) is employed to replace the general nonlinear discrete time system....
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...More importantly, PPD can be estimated online directly based on the input–output measurements....
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...Full form of dynamic linearization: Δy(k + 1) = Ψ̃(k)Δũ(k) (20) where Ψ̃(k)= [ Ψ1(k) · · · ΨLu(k)ΨLu+1(k) · · · ΨLy+Lu(k) ] (21) Δũ(k)= [ ΔuT (k), . . . , ΔuT (k − Lu + 1),ΔyT (k), . . . , ΔyT (k − Ly + 1) ]T (22) and its PPD matrix is similar to that of the previous data model....
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...Partial form of dynamic linearization: Δy(k + 1) = Ψ̄(k)Δū(k) (17) where Ψ̄(k) = [Ψ1(k) · · · ΨL(k) ] , ∥∥Ψ̄(k)∥∥ b (18) Δū(k) = [ΔuT (k), . . . , ΔuT (k − L+ 1) ]T (19) and each Ψi(k) (i = 1, . . . , L) has the structure in (16) to form the PPD matrix....
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Cites background from "From model-based control to data-dr..."
...Methods and algorithms focusing on data-based aspects like statistical analyses in business, management, and biomedicine [10–12], datadriven process monitoring/ prognostics [13], [14], and system control and optimization [15], [16] have been widely investigated in recent...
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...[16] Z....
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381 citations
Cites background from "From model-based control to data-dr..."
..., stability or constraint satisfaction of system variables [1], [2]....
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References
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"From model-based control to data-dr..." refers methods in this paper
...However, the model uncertainty descriptions upon which robust control design methods have been based are not consistent with the methods delivered by physical mathematical modeling and identification modeling [86]....
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15,391 citations
"From model-based control to data-dr..." refers background in this paper
...Its main branches, system identification, adaptive control, robust control, optimal control, variable structure control, and stochastic system theory, have been extensively used in industrial processes, aerospace, traffic systems, and other applications....
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