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achieved adaptive control aircraft algorithm analysis antiresonance application approach approximation automaton behaviour characteristics closed-loop coefficients compartmental model complex component considered constraints control law control system control theory convergence defined determined discrete disturbance dynamic eigenvalues elements engine equation error example feedforward flow frequency fuel full state feedback gain given graph identification input input/output interaction lean burn limit limit cycle linear load loop matrix measured method minimise minimum mode motoneurones multivariable node noise nonlinear obtained operating optimal control optimisation output Pade approximant parameter estimation parameter variations permutation matrix plant plot poles polynomial prediction pressure problem procedure reactor recursive regulator root-locus sampling scheme self-tuning sensitivity sequence shown in Figure signal simulation solution stability step response stochastic structure subspace subsubsystem subsystem techniques temperature Theorem time-varying systems tion transfer function transient tuning controller valve variables variance vector zero