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Papers that do not include an element of robust or nonlinear control and estimation theory will not be considered by the journal, and all papers will be expected to include significant novel content. The focus of the journal is on model based control design approaches rather than heuristic or rule based methods. Papers on neural networks will have to be of exceptional novelty to be considered for the journal.
Nonlinear SystemsTracking ControlMultiagent SystemsSliding Mode ControlMulti-agent SystemsLinear Matrix InequalityRobust ControlLoop SystemStability AnalysisAdaptive ControlOutput FeedbackLinear SystemsUncertain SystemsLinear MatrixRobust StabilityUncertain Nonlinear SystemsModel Predictive ControlNonlinear ControlState EstimationExponential Stability
Papers that do not include an element of robust or nonlinear control and estimation theory will not be considered by the journal, and all papers will be expected to include significant novel content. The focus of the journal is on model based control design approaches rather than heuristic or rule based methods. Papers on neural networks will have to be of exceptional novelty to be considered for the journal.