1998
DOI: 10.1016/s0005-1098(97)00171-4
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A numerically robust state-space approach to stable-predictive control strategies

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Cited by 227 publications
(125 citation statements)
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“…For example, conventional PFC requires changes in the underlying loop structure and prediction models to cater for unstable open-loop plants. Within the broader MPC literature ideas such as prestabilisation [14,17] are commonplace. There us also minor interest in what happens when targets take the form of ramps rather than steps; again this requires a significant change in the underlying approach as the use of two integrators within the loop is now implicit in order to achieve no offset and this radically changes the performance that is achievable, as is well known from the mainstream literature.…”
Section: Discussionmentioning
confidence: 99%
“…For example, conventional PFC requires changes in the underlying loop structure and prediction models to cater for unstable open-loop plants. Within the broader MPC literature ideas such as prestabilisation [14,17] are commonplace. There us also minor interest in what happens when targets take the form of ramps rather than steps; again this requires a significant change in the underlying approach as the use of two integrators within the loop is now implicit in order to achieve no offset and this radically changes the performance that is achievable, as is well known from the mainstream literature.…”
Section: Discussionmentioning
confidence: 99%
“…Remark 4 Subsequent work in MPC (Rossiter et al (1998)) has proposed a cascade structure for MPC where an inner loop gives stable behaviour and the outer loop is used to tailor performance. Such an approach is not explored here as it is likely to lead to more challenging constraint handling which is not consistent with the PFC philosophy of requiring very simple and brief code.…”
Section: Review Of Mpc Literaturementioning
confidence: 99%
“…The approach is presented next before the paper moves on to show how this can be deployed within a PFC framework. This section outlines the algebra needed to parameterise the future input predictions which ensure convergent output predictions (Rossiter, 2003). The model equation in terms of input increments is given as:…”
Section: Derivation Of Input Shaping To Give Stabilising Predictionsmentioning
confidence: 99%
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