Summary

Negative Imaginary (NI) systems control theory is a specialised branch of control engineering focused on the analysis and design of systems whose frequency­-domain response exhibits a non­positive imaginary part over a prescribed frequency range. Originally developed for vibration suppression in flexible structures, the NI framework leverages intrinsic passivity and dissipativity properties to guarantee robust stability when two systems are interconnected in positive feedback. The core concept rests on formulating frequency­domain inequalities or equivalent time­-domain dissipative supply rates, leading to tractable linear matrix inequality (LMI) tests for system realisation. Over the last decade, the theory has been extended from single­-input single­-output linear time­-invariant (LTI) models to multi­-input multi­-output systems, discrete­-time formulations, and certain classes of nonlinear dynamics. Key advances include characterisation of strict subclasses (output strictly negative imaginary, input strictly negative imaginary), unification of NI and dissipativity frameworks, and generalised criteria for robust controller synthesis. Practical applications span precision motion control, aerospace attitude regulation and satellite orbit stabilisation, micro­electromechanical systems and networked multi­agent consensus. By exploiting the complementary nature of NI properties and positive­-feedback interconnections, engineers achieve stability margins and disturbance attenuation without resorting to high­gain designs, thereby enhancing performance in the presence of modelling uncertainties and unmodelled high­frequency dynamics.

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Recent work in input–output characterisation has introduced a unified dissipative framework for NI systems, defining a generalized supply rate that captures auxiliary inputs and filtered outputs. This development consolidates existing subclasses into a single input­-output negative imaginary (IONI) class and offers frequency­-dependent dissipativity tests alongside LMI conditions for state­-space realisations, thereby clarifying stability properties of positive feedback loops without poles at the origin. Another strand of research has addressed discrete­-time NI behaviour, formulating a linear discrete­-time output negative imaginary (D­-ONI) class in the z­-domain. By introducing a strictness parameter, this work delineates D­-ONI and discrete­-time output strictly negative imaginary subsets, provides LMI­-based tests and establishes connections between discrete­-time passivity and NI properties, with closed­-loop stability results for positive feedback interconnections free of unit­circle singularities. In application­driven studies, observer­-based NI control has been applied to satellite orbit dynamics. A transformation scheme converts the orbital model into a strongly strict NI form, after which a NI positive feedback controller ensures robust orbit stabilisation under multiplicative uncertainties. Numerical simulations demonstrate effective regulation using multi­thruster configurations, highlighting the global significance of NI theory in aerospace guidance and fault­tolerant space operations.

Negative Imaginary Systems Control Theory publication trend

The graph below shows the total number of articles in negative imaginary systems control theory across all publications each year (not limited to Nature Index journals).

Technical terms

Negative Imaginary (NI) System: A linear system whose transfer function’s imaginary part is non­positive for all positive frequencies.

Output Strictly Negative Imaginary (OSNI): A stronger subclass of NI systems characterised by a strict frequency­domain inequality and enhanced stability margins.

Dissipativity: A property describing energy balance in time­domain via a supply rate, linking inputs and outputs through storage functions.

Linear Matrix Inequality (LMI): A convex constraint on system matrices used to verify stability, performance or structural properties of dynamical models.

Positive Feedback Interconnection: A configuration where two systems are connected in a loop that can exploit NI and passivity properties to ensure closed­-loop stability.

References

  1. Characterization of InputOutput Negative Imaginary Systems in a Dissipative Framework. IEEE Transactions on Automatic Control (2022).
  2. On Discrete-Time Output Negative Imaginary Systems. IEEE Control Systems Letters (2021).
  3. Negative imaginary feedback control of satellite orbit dynamical model. International Journal of Dynamics and Control (2023).
  4. Robust output consensus of homogeneous multi-agent systems with negative imaginary dynamics. Automatica (2020).
  5. Modelling and control of nonlinear negative imaginary systems. International Journal of Dynamics and Control (2022).

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