Resilient Cooperative Control and Optimization of Multi-Agent Systems addresses various resilient cooperative control and optimization problems of multi-agent systems that are vulnerable to physical failure and cyber attacks and consist of multiple decision-making agents that interact in a shared environment to achieve common or conflicting goals. Critical infrastructures, such as smart grids, wireless sensor network, multi-robot system, etc., are typical examples of multi-agent systems that consist of the large-scale physical processes which are monitored and controlled over a set of communication networks and computers.
1. Chapter 1. Introduction - p. 1 2. Chapter 2. Preliminaries - p. 35 3. Chapter 3. Secure cooperative tracking control for homogeneous linear multi-agent systems under two types of attacks - p. 49 4. Abstract - p. 49 5. 3.1 Secure consensus tracking for homogeneous linear multi-agent systems under deterministic switching attacks - p. 49 6. 3.2 Secure consensus tracking for homogeneous linear multi-agent systems under strategic switching attacks - p. 70 7. 3.3 Conclusion - p. 90 8. Bibliography - p. 91 9. Chapter 4. Event-triggered secure cooperative tracking control for homogeneous linear multi-agent systems subject to malicious DoS attacks - p. 93 10. Abstract - p. 93 11. 4.1 Introduction - p. 93 12. 4.2 Problem formulation - p. 94 13. 4.3 Event-triggered secure cooperative leaderless control - p. 97 14. 4.4 Event-triggered secure cooperative leader-following control - p. 109 15. 4.5 Numerical simulation - p. 114 16. 4.6 Conclusion - p. 121 17. Bibliography - p. 121 18. Chapter 5. Resilient time-varying formation tracking of continuous-time heterogeneous linear multi-agent systems under malicious FDI and DoS attacks - p. 123 19. Abstract - p. 123 20. 5.1 Introduction - p. 123 21. 5.2 Problem formulation - p. 125 22. 5.3 Exponential distributed stabilization for resilient time-varying output formation tracking - p. 130 23. 5.4 Exponential distributed stabilization for resilient time-varying output formation-containment tracking with multiple leaders - p. 141 24. 5.5 Numerical simulation - p. 144 25. 5.6 Conclusion - p. 152 26. Bibliography - p. 152 27. Chapter 6. Discrete-time adaptive distributed output observer design for resilient time-varying formation tracking of heterogeneous linear multi-agent systems - p. 153 28. Abstract - p. 153 29. 6.1 Introduction - p. 153 30. 6.2 Problem formulation - p. 154 31. 6.3 Exponential distributed stabilization for resilient time-varying output formation tracking under FDI attacks - p. 157 32. 6.4 Numerical simulation - p. 167 33. 6.5 Conclusion - p. 173 34. Bibliography - p. 173 35. Chapter 7. Finite-time resilient distributed convex optimization for multi-agent systems under FDI attacks - p. 175 36. Abstract - p. 175 37. 7.1 Introduction - p. 175 38. 7.2 Problem formulation - p. 177 39. 7.3 Finite-time resilient distributed quadratic optimization - p. 178 40. 7.4 Finite-time resilient distributed non-quadratic optimization - p. 188 41. 7.5 Numerical simulation - p. 193 42. 7.6 Conclusion - p. 202 43. Bibliography - p. 202 44. Chapter 8. Attack-resilient distributed convex optimization for multi-agent systems against malicious cyber-attacks over random digraphs - p. 203 45. Abstract - p. 203 46. 8.1 Introduction - p. 203 47. 8.2 Problem formulation - p. 205 48. 8.3 Resilient time-based distributed optimization strategy against DoS attacks over random digraphs - p. 209 49. 8.4 Resilient event-triggered strategy against DoS attacks over random digraphs - p. 217 50. 8.5 Numerical simulation - p. 225 51. 8.6 Conclusion - p. 234 52. Bibliography - p. 235 53. Chapter 9. Resilient distributed Nash equilibrium seeking of non-cooperative games for uncertain heterogeneous linear multi-agent systems - p. 237 54. Abstract - p. 237 55. 9.1 Introduction - p. 237 56. 9.2 Problem formulation - p. 238 57. 9.3 Resilient distributed NE seeking of heterogeneous linear multi-agent systems - p. 241 58. 9.4 Resilient distributed NE seeking of heterogeneous linear multi-agent systems under uncertainties and disturbances - p. 249 59. 9.5 Numerical simulations - p. 254 60. 9.6 Conclusion - p. 260 61. Bibliography - p. 260 62. Chapter 10. Attack-resilient distributed algorithms for exponential Nash equilibrium seeking - p. 261 63. Chapter 11. Conclusions & future works - p. 285 64. Appendix A. Appendix - p. 289 65. Bibliography - p. 293 66. Index - p. 307
Resilient Cooperative Control and Optimization of Multi-Agent Systems addresses various resilient cooperative control and optimization problems of multi-agent systems that are vulnerable to physical failure and cyber attacks and consist of multiple decision-making agents that interact in a shared environment to achieve common or conflicting goals. Critical infrastructures, such as smart grids, wireless sensor network, multi-robot system, etc., are typical examples of multi-agent systems that consist of the large-scale physical processes which are monitored and controlled over a set of communication networks and computers.
1. Chapter 1. Introduction - p. 1 2. Chapter 2. Preliminaries - p. 35 3. Chapter 3. Secure cooperative tracking control for homogeneous linear multi-agent systems under two types of attacks - p. 49 4. Abstract - p. 49 5. 3.1 Secure consensus tracking for homogeneous linear multi-agent systems under deterministic switching attacks - p. 49 6. 3.2 Secure consensus tracking for homogeneous linear multi-agent systems under strategic switching attacks - p. 70 7. 3.3 Conclusion - p. 90 8. Bibliography - p. 91 9. Chapter 4. Event-triggered secure cooperative tracking control for homogeneous linear multi-agent systems subject to malicious DoS attacks - p. 93 10. Abstract - p. 93 11. 4.1 Introduction - p. 93 12. 4.2 Problem formulation - p. 94 13. 4.3 Event-triggered secure cooperative leaderless control - p. 97 14. 4.4 Event-triggered secure cooperative leader-following control - p. 109 15. 4.5 Numerical simulation - p. 114 16. 4.6 Conclusion - p. 121 17. Bibliography - p. 121 18. Chapter 5. Resilient time-varying formation tracking of continuous-time heterogeneous linear multi-agent systems under malicious FDI and DoS attacks - p. 123 19. Abstract - p. 123 20. 5.1 Introduction - p. 123 21. 5.2 Problem formulation - p. 125 22. 5.3 Exponential distributed stabilization for resilient time-varying output formation tracking - p. 130 23. 5.4 Exponential distributed stabilization for resilient time-varying output formation-containment tracking with multiple leaders - p. 141 24. 5.5 Numerical simulation - p. 144 25. 5.6 Conclusion - p. 152 26. Bibliography - p. 152 27. Chapter 6. Discrete-time adaptive distributed output observer design for resilient time-varying formation tracking of heterogeneous linear multi-agent systems - p. 153 28. Abstract - p. 153 29. 6.1 Introduction - p. 153 30. 6.2 Problem formulation - p. 154 31. 6.3 Exponential distributed stabilization for resilient time-varying output formation tracking under FDI attacks - p. 157 32. 6.4 Numerical simulation - p. 167 33. 6.5 Conclusion - p. 173 34. Bibliography - p. 173 35. Chapter 7. Finite-time resilient distributed convex optimization for multi-agent systems under FDI attacks - p. 175 36. Abstract - p. 175 37. 7.1 Introduction - p. 175 38. 7.2 Problem formulation - p. 177 39. 7.3 Finite-time resilient distributed quadratic optimization - p. 178 40. 7.4 Finite-time resilient distributed non-quadratic optimization - p. 188 41. 7.5 Numerical simulation - p. 193 42. 7.6 Conclusion - p. 202 43. Bibliography - p. 202 44. Chapter 8. Attack-resilient distributed convex optimization for multi-agent systems against malicious cyber-attacks over random digraphs - p. 203 45. Abstract - p. 203 46. 8.1 Introduction - p. 203 47. 8.2 Problem formulation - p. 205 48. 8.3 Resilient time-based distributed optimization strategy against DoS attacks over random digraphs - p. 209 49. 8.4 Resilient event-triggered strategy against DoS attacks over random digraphs - p. 217 50. 8.5 Numerical simulation - p. 225 51. 8.6 Conclusion - p. 234 52. Bibliography - p. 235 53. Chapter 9. Resilient distributed Nash equilibrium seeking of non-cooperative games for uncertain heterogeneous linear multi-agent systems - p. 237 54. Abstract - p. 237 55. 9.1 Introduction - p. 237 56. 9.2 Problem formulation - p. 238 57. 9.3 Resilient distributed NE seeking of heterogeneous linear multi-agent systems - p. 241 58. 9.4 Resilient distributed NE seeking of heterogeneous linear multi-agent systems under uncertainties and disturbances - p. 249 59. 9.5 Numerical simulations - p. 254 60. 9.6 Conclusion - p. 260 61. Bibliography - p. 260 62. Chapter 10. Attack-resilient distributed algorithms for exponential Nash equilibrium seeking - p. 261 63. Chapter 11. Conclusions & future works - p. 285 64. Appendix A. Appendix - p. 289 65. Bibliography - p. 293 66. Index - p. 307
