activity
20202026
most citedA negative imaginary approach to hybrid integrator-gain system control

13 citations · 33 across the 20 of their papers we have counts for

collaborators

20 papers

eess.SY2026

Absolute Stability of Nonlinear Negative Imaginary Systems with Application to Potential Energy Shaping

Kanghong Shi, Ian R. Manchester

This paper establishes absolute stability conditions for nonlinear negative imaginary (NI) systems interconnected with static nonlinear feedback. We first show that the NI property…

eess.SY2026

Digital Control of Negative Imaginary Systems Using Discrete-Time Multi-HIGS: Application to a Dual-Stage MEMS Force Sensor

Kanghong Shi, Diyako Dadkhah, Ian R. Petersen +1

In this paper, we propose a digital control approach for multi-input multi-output negative imaginary (NI) systems using discrete-time hybrid integrator-gain systems (HIGS) controll…

eess.SY2025

Negative Imaginary Neural ODEs: Learning to Control Mechanical Systems with Stability Guarantees

Kanghong Shi, Ruigang Wang, Ian R. Manchester

We propose a neural control method to provide guaranteed stabilization for mechanical systems using a novel negative imaginary neural ordinary differential equation (NINODE) contro…

eess.SY2024

On the Stability of Networked Nonlinear Negative Imaginary Systems with Applications to Electrical Power Systems

Yijun Chen, Kanghong Shi, Ian R. Petersen +1

In the transition to achieving net zero emissions, it has been suggested that a substantial expansion of electric power grids will be necessary to support emerging renewable energy…

eess.SY2024★ 1 cited

Discrete-time Integral Resonant Control of Negative Imaginary Systems: Application to a High-speed Nanopositioner

Kanghong Shi, Erfan Khodabakhshi, Prosanto Biswas +2

We propose a discrete-time integral resonant control (IRC) approach for negative imaginary (NI) systems, which overcomes several limitations of continuous-time IRC. We show that a…

eess.SY2024★ 1 cited

Unified Control of Voltage, Frequency and Angle in Electrical Power Systems: A Passivity and Negative-Imaginary based Approach

Yijun Chen, Kanghong Shi, Ian R. Petersen +1

This paper proposes a unified methodology for voltage regulation, frequency synchronization, and rotor angle control in power transmission systems considering a one-axis generator…

eess.SY2024

Digital control of negative imaginary systems: a discrete-time hybrid integrator-gain system approach

Kanghong Shi, Ian R. Petersen

A hybrid integrator-gain system (HIGS) is a control element that switches between an integrator and a gain, which overcomes some inherent limitations of linear controllers. In this…

eess.SY2024

Hybrid integrator-gain system based integral resonant controllers for negative imaginary systems

Kanghong Shi, Ian R. Petersen

We introduce a hybrid control system called a hybrid integrator-gain system (HIGS) based integral resonant controller (IRC) to stabilize negative imaginary (NI) systems. A HIGS-bas…

eess.SY2023

Discrete-time Negative Imaginary Systems from ZOH Sampling

Kanghong Shi, Ian R. Petersen, Igor G. Vladimirov

A new definition of discrete-time negative imaginary (NI) systems is provided. This definition characterizes the dissipative property of a zero-order hold sampled continuous-time N…

eess.SY2023

A Nonlinear Negative Imaginary Systems Framework with Actuator Saturation for Control of Electrical Power Systems

Yijun Chen, Kanghong Shi, Ian R. Petersen +1

In the transition to net zero, it has been suggested that a massive expansion of the electric power grid will be required to support emerging renewable energy zones. In this paper,…

eess.SY2023

Negative Imaginary Control Using Hybrid Integrator-Gain Systems: Application to MEMS Nanopositioner

Kanghong Shi, Nastaran Nikooienejad, Ian R. Petersen +1

In this paper, we propose a new approach to address the control problem for negative imaginary (NI) systems by using hybrid integrator-gain systems (HIGS). We investigate the singl…

eess.SY2023

Nonlinear Negative Imaginary Systems with Switching

Kanghong Shi, Ian R. Petersen, Igor G. Vladimirov

In this paper, we extend nonlinear negative imaginary (NI) systems theory to switched systems. Switched nonlinear NI systems and switched nonlinear output strictly negative imagina…

eess.SY2022★ 13 cited

A negative imaginary approach to hybrid integrator-gain system control

Kanghong Shi, Nastaran Nikooienejad, Ian R. Petersen +1

In this paper, we show that a hybrid integrator-gain system (HIGS) is a nonlinear negative imaginary (NNI) system. We prove that the positive feedback interconnection of a linear n…

eess.SY2022

Negative Imaginary State Feedback Equivalence for a Class of Nonlinear Systems

Kanghong Shi, Ian R. Petersen, Igor G. Vladimirov

In this paper, we investigate the necessary and sufficient conditions under which a class of nonlinear systems are state feedback equivalent to nonlinear negative imaginary (NI) sy…

eess.SY2022

Making Nonlinear Systems Negative Imaginary via State Feedback

Kanghong Shi, Ian R. Petersen, Igor G. Vladimirov

This paper provides a state feedback stabilization approach for nonlinear systems of relative degree less than or equal to two by rendering them nonlinear negative imaginary (NI) s…

eess.SY2021★ 7 cited

Necessary and Sufficient Conditions for State Feedback Equivalence to Negative Imaginary Systems

Kanghong Shi, Ian R. Petersen, Igor G. Vladimirov

In this paper, we present necessary and sufficient conditions under which a linear time-invariant (LTI) system is state feedback equivalent to a negative imaginary (NI) system. Mor…

eess.SY2021

Negative Imaginary State Feedback Equivalence for Systems of Relative Degree One and Relative Degree Two

Kanghong Shi, Ian R. Petersen, Igor G. Vladimirov

This paper presents necessary and sufficient conditions under which a linear system of relative degree either one or two is state feedback equivalent to a negative imaginary (NI) s…

eess.SY2020★ 3 cited

Output Feedback Consensus for Networked Heterogeneous Nonlinear Negative-Imaginary Systems with Free Body Motion

Kanghong Shi, Ian R. Petersen, Igor G. Vladimirov

This paper provides a protocol to address the robust output feedback consensus problem for networked heterogeneous nonlinear negative-imaginary (NI) systems with free body dynamics…

eess.SY2020★ 6 cited

Robust Output Feedback Consensus for Networked Heterogeneous Nonlinear Negative-Imaginary Systems

Kanghong Shi, Igor G. Vladimirov, Ian R. Petersen

This paper provides a control protocol for the robust output feedback consensus of networked heterogeneous nonlinear negative-imaginary (NI) systems. Heterogeneous nonlinear output…

eess.SY2020★ 2 cited

Robust Output Feedback Consensus for Networked Identical Nonlinear Negative-Imaginary Systems

Kanghong Shi, Igor G. Vladimirov, Ian R. Petersen

A robust output feedback consensus problem for networked identical nonlinear negative-imaginary (NI) systems is investigated in this paper. Output consensus is achieved by applying…